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Saturday, June 21, 2025

Rationality

From Wikipedia, the free encyclopedia
https://en.wikipedia.org/wiki/Rationality

Rationality
is the quality of being guided by or based on reason. In this regard, a person acts rationally if they have a good reason for what they do, or a belief is rational if it is based on strong evidence. This quality can apply to an ability, as in a rational animal, to a psychological process, like reasoning, to mental states, such as beliefs and intentions, or to persons who possess these other forms of rationality. A thing that lacks rationality is either arational, if it is outside the domain of rational evaluation, or irrational, if it belongs to this domain but does not fulfill its standards.

There are many discussions about the essential features shared by all forms of rationality. According to reason-responsiveness accounts, to be rational is to be responsive to reasons. For example, dark clouds are a reason for taking an umbrella, which is why it is rational for an agent to do so in response. An important rival to this approach are coherence-based accounts, which define rationality as internal coherence among the agent's mental states. Many rules of coherence have been suggested in this regard, for example, that one should not hold contradictory beliefs or that one should intend to do something if one believes that one should do it. Goal-based accounts characterize rationality in relation to goals, such as acquiring truth in the case of theoretical rationality. Internalists believe that rationality depends only on the person's mind. Externalists contend that external factors may also be relevant. Debates about the normativity of rationality concern the question of whether one should always be rational. A further discussion is whether rationality requires that all beliefs be reviewed from scratch rather than trusting pre-existing beliefs.

Various types of rationality are discussed in the academic literature. The most influential distinction is between theoretical and practical rationality. Theoretical rationality concerns the rationality of beliefs. Rational beliefs are based on evidence that supports them. Practical rationality pertains primarily to actions. This includes certain mental states and events preceding actions, like intentions and decisions. In some cases, the two can conflict, as when practical rationality requires that one adopts an irrational belief. Another distinction is between ideal rationality, which demands that rational agents obey all the laws and implications of logic, and bounded rationality, which takes into account that this is not always possible since the computational power of the human mind is too limited. Most academic discussions focus on the rationality of individuals. This contrasts with social or collective rationality, which pertains to collectives and their group beliefs and decisions.

Rationality is important for solving all kinds of problems in order to efficiently reach one's goal. It is relevant to and discussed in many disciplines. In ethics, one question is whether one can be rational without being moral at the same time. Psychology is interested in how psychological processes implement rationality. This also includes the study of failures to do so, as in the case of cognitive biases. Cognitive and behavioral sciences usually assume that people are rational enough to predict how they think and act. Logic studies the laws of correct arguments. These laws are highly relevant to the rationality of beliefs. A very influential conception of practical rationality is given in decision theory, which states that a decision is rational if the chosen option has the highest expected utility. Other relevant fields include game theory, Bayesianism, economics, and artificial intelligence.

Definition and semantic field

In its most common sense, rationality is the quality of being guided by reasons or being reasonable. For example, a person who acts rationally has good reasons for what they do. This usually implies that they reflected on the possible consequences of their action and the goal it is supposed to realize. In the case of beliefs, it is rational to believe something if the agent has good evidence for it and it is coherent with the agent's other beliefs. While actions and beliefs are the most paradigmatic forms of rationality, the term is used both in ordinary language and in many academic disciplines to describe a wide variety of things, such as persons, desires, intentions, decisions, policies, and institutions. Because of this variety in different contexts, it has proven difficult to give a unified definition covering all these fields and usages. In this regard, different fields often focus their investigation on one specific conception, type, or aspect of rationality without trying to cover it in its most general sense.

These different forms of rationality are sometimes divided into abilities, processes, mental states, and persons. For example, when it is claimed that humans are rational animals, this usually refers to the ability to think and act in reasonable ways. It does not imply that all humans are rational all the time: this ability is exercised in some cases but not in others. On the other hand, the term can also refer to the process of reasoning that results from exercising this ability. Often many additional activities of the higher cognitive faculties are included as well, such as acquiring concepts, judging, deliberating, planning, and deciding as well as the formation of desires and intentions. These processes usually affect some kind of change in the thinker's mental states. In this regard, one can also talk of the rationality of mental states, like beliefs and intentions. A person who possesses these forms of rationality to a sufficiently high degree may themselves be called rational. In some cases, also non-mental results of rational processes may qualify as rational. For example, the arrangement of products in a supermarket can be rational if it is based on a rational plan.

The term "rational" has two opposites: irrational and arational. Arational things are outside the domain of rational evaluation, like digestive processes or the weather. Things within the domain of rationality are either rational or irrational depending on whether they fulfill the standards of rationality. For example, beliefs, actions, or general policies are rational if there is a good reason for them and irrational otherwise. It is not clear in all cases what belongs to the domain of rational assessment. For example, there are disagreements about whether desires and emotions can be evaluated as rational and irrational rather than arational. The term "irrational" is sometimes used in a wide sense to include cases of arationality.

The meaning of the terms "rational" and "irrational" in academic discourse often differs from how they are used in everyday language. Examples of behaviors considered irrational in ordinary discourse are giving into temptations, going out late even though one has to get up early in the morning, smoking despite being aware of the health risks, or believing in astrology. In the academic discourse, on the other hand, rationality is usually identified with being guided by reasons or following norms of internal coherence. Some of the earlier examples may qualify as rational in the academic sense depending on the circumstances. Examples of irrationality in this sense include cognitive biases and violating the laws of probability theory when assessing the likelihood of future events. This article focuses mainly on irrationality in the academic sense.

The terms "rationality", "reason", and "reasoning" are frequently used as synonyms. But in technical contexts, their meanings are often distinguished. Reason is usually understood as the faculty responsible for the process of reasoning. This process aims at improving mental states. Reasoning tries to ensure that the norms of rationality obtain. It differs from rationality nonetheless since other psychological processes besides reasoning may have the same effect. Rationality derives etymologically from the Latin term rationalitas.

Disputes about the concept of rationality

There are many disputes about the essential characteristics of rationality. It is often understood in relational terms: something, like a belief or an intention, is rational because of how it is related to something else. But there are disagreements as to what it has to be related to and in what way. For reason-based accounts, the relation to a reason that justifies or explains the rational state is central. For coherence-based accounts, the relation of coherence between mental states matters. There is a lively discussion in the contemporary literature on whether reason-based accounts or coherence-based accounts are superior. Some theorists also try to understand rationality in relation to the goals it tries to realize.

Other disputes in this field concern whether rationality depends only on the agent's mind or also on external factors, whether rationality requires a review of all one's beliefs from scratch, and whether we should always be rational.

Based on reason-responsiveness

A common idea of many theories of rationality is that it can be defined in terms of reasons. In this view, to be rational means to respond correctly to reasons. For example, the fact that a food is healthy is a reason to eat it. So this reason makes it rational for the agent to eat the food. An important aspect of this interpretation is that it is not sufficient to merely act accidentally in accordance with reasons. Instead, responding to reasons implies that one acts intentionally because of these reasons.

Some theorists understand reasons as external facts. This view has been criticized based on the claim that, in order to respond to reasons, people have to be aware of them, i.e. they have some form of epistemic access. But lacking this access is not automatically irrational. In one example by John Broome, the agent eats a fish contaminated with salmonella, which is a strong reason against eating the fish. But since the agent could not have known this fact, eating the fish is rational for them. Because of such problems, many theorists have opted for an internalist version of this account. This means that the agent does not need to respond to reasons in general, but only to reasons they have or possess. The success of such approaches depends a lot on what it means to have a reason and there are various disagreements on this issue. A common approach is to hold that this access is given through the possession of evidence in the form of cognitive mental states, like perceptions and knowledge. A similar version states that "rationality consists in responding correctly to beliefs about reasons". So it is rational to bring an umbrella if the agent has strong evidence that it is going to rain. But without this evidence, it would be rational to leave the umbrella at home, even if, unbeknownst to the agent, it is going to rain. These versions avoid the previous objection since rationality no longer requires the agent to respond to external factors of which they could not have been aware.

A problem faced by all forms of reason-responsiveness theories is that there are usually many reasons relevant and some of them may conflict with each other. So while salmonella contamination is a reason against eating the fish, its good taste and the desire not to offend the host are reasons in favor of eating it. This problem is usually approached by weighing all the different reasons. This way, one does not respond directly to each reason individually but instead to their weighted sum. Cases of conflict are thus solved since one side usually outweighs the other. So despite the reasons cited in favor of eating the fish, the balance of reasons stands against it, since avoiding a salmonella infection is a much weightier reason than the other reasons cited. This can be expressed by stating that rational agents pick the option favored by the balance of reasons.

However, other objections to the reason-responsiveness account are not so easily solved. They often focus on cases where reasons require the agent to be irrational, leading to a rational dilemma. For example, if terrorists threaten to blow up a city unless the agent forms an irrational belief, this is a very weighty reason to do all in one's power to violate the norms of rationality.

Based on rules of coherence

An influential rival to the reason-responsiveness account understands rationality as internal coherence. On this view, a person is rational to the extent that their mental states and actions are coherent with each other. Diverse versions of this approach exist that differ in how they understand coherence and what rules of coherence they propose. A general distinction in this regard is between negative and positive coherence. Negative coherence is an uncontroversial aspect of most such theories: it requires the absence of contradictions and inconsistencies. This means that the agent's mental states do not clash with each other. In some cases, inconsistencies are rather obvious, as when a person believes that it will rain tomorrow and that it will not rain tomorrow. In complex cases, inconsistencies may be difficult to detect, for example, when a person believes in the axioms of Euclidean geometry and is nonetheless convinced that it is possible to square the circle. Positive coherence refers to the support that different mental states provide for each other. For example, there is positive coherence between the belief that there are eight planets in the Solar System and the belief that there are less than ten planets in the Solar System: the earlier belief implies the latter belief. Other types of support through positive coherence include explanatory and causal connections.

Coherence-based accounts are also referred to as rule-based accounts since the different aspects of coherence are often expressed in precise rules. In this regard, to be rational means to follow the rules of rationality in thought and action. According to the enkratic rule, for example, rational agents are required to intend what they believe they ought to do. This requires coherence between beliefs and intentions. The norm of persistence states that agents should retain their intentions over time. This way, earlier mental states cohere with later ones. It is also possible to distinguish different types of rationality, such as theoretical or practical rationality, based on the different sets of rules they require.

One problem with such coherence-based accounts of rationality is that the norms can enter into conflict with each other, so-called rational dilemmas. For example, if the agent has a pre-existing intention that turns out to conflict with their beliefs, then the enkratic norm requires them to change it, which is disallowed by the norm of persistence. This suggests that, in cases of rational dilemmas, it is impossible to be rational, no matter which norm is privileged. Some defenders of coherence theories of rationality have argued that, when formulated correctly, the norms of rationality cannot enter into conflict with each other. That means that rational dilemmas are impossible. This is sometimes tied to additional non-trivial assumptions, such that ethical dilemmas also do not exist. A different response is to bite the bullet and allow that rational dilemmas exist. This has the consequence that, in such cases, rationality is not possible for the agent and theories of rationality cannot offer guidance to them. These problems are avoided by reason-responsiveness accounts of rationality since they "allow for rationality despite conflicting reasons but [coherence-based accounts] do not allow for rationality despite conflicting requirements". Some theorists suggest a weaker criterion of coherence to avoid cases of necessary irrationality: rationality requires not to obey all norms of coherence but to obey as many norms as possible. So in rational dilemmas, agents can still be rational if they violate the minimal number of rational requirements.

Another criticism rests on the claim that coherence-based accounts are either redundant or false. On this view, either the rules recommend the same option as the balance of reasons or a different option. If they recommend the same option, they are redundant. If they recommend a different option, they are false since, according to its critics, there is no special value in sticking to rules against the balance of reasons.

Based on goals

A different approach characterizes rationality in relation to the goals it aims to achieve. In this regard, theoretical rationality aims at epistemic goals, like acquiring truth and avoiding falsehood. Practical rationality, on the other hand, aims at non-epistemic goals, like moral, prudential, political, economic, or aesthetic goals. This is usually understood in the sense that rationality follows these goals but does not set them. So rationality may be understood as a "minister without portfolio" since it serves goals external to itself. This issue has been the source of an important historical discussion between David Hume and Immanuel Kant. The slogan of Hume's position is that "reason is the slave of the passions". This is often understood as the claim that rationality concerns only how to reach a goal but not whether the goal should be pursued at all. So people with perverse or weird goals may still be perfectly rational. This position is opposed by Kant, who argues that rationality requires having the right goals and motives.

According to William Frankena there are four conceptions of rationality based on the goals it tries to achieve. They correspond to egoism, utilitarianism, perfectionism, and intuitionism. According to the egoist perspective, rationality implies looking out for one's own happiness. This contrasts with the utilitarian point of view, which states that rationality entails trying to contribute to everyone's well-being or to the greatest general good. For perfectionism, a certain ideal of perfection, either moral or non-moral, is the goal of rationality. According to the intuitionist perspective, something is rational "if and only if [it] conforms to self-evident truths, intuited by reason". These different perspectives diverge a lot concerning the behavior they prescribe. One problem for all of them is that they ignore the role of the evidence or information possessed by the agent. In this regard, it matters for rationality not just whether the agent acts efficiently towards a certain goal but also what information they have and how their actions appear reasonable from this perspective. Richard Brandt responds to this idea by proposing a conception of rationality based on relevant information: "Rationality is a matter of what would survive scrutiny by all relevant information." This implies that the subject repeatedly reflects on all the relevant facts, including formal facts like the laws of logic.

Internalism and externalism

An important contemporary discussion in the field of rationality is between internalists and externalists. Both sides agree that rationality demands and depends in some sense on reasons. They disagree on what reasons are relevant or how to conceive those reasons. Internalists understand reasons as mental states, for example, as perceptions, beliefs, or desires. In this view, an action may be rational because it is in tune with the agent's beliefs and realizes their desires. Externalists, on the other hand, see reasons as external factors about what is good or right. They state that whether an action is rational also depends on its actual consequences. The difference between the two positions is that internalists affirm and externalists reject the claim that rationality supervenes on the mind. This claim means that it only depends on the person's mind whether they are rational and not on external factors. So for internalism, two persons with the same mental states would both have the same degree of rationality independent of how different their external situation is. Because of this limitation, rationality can diverge from actuality. So if the agent has a lot of misleading evidence, it may be rational for them to turn left even though the actually correct path goes right.

Bernard Williams has criticized externalist conceptions of rationality based on the claim that rationality should help explain what motivates the agent to act. This is easy for internalism but difficult for externalism since external reasons can be independent of the agent's motivation. Externalists have responded to this objection by distinguishing between motivational and normative reasons. Motivational reasons explain why someone acts the way they do while normative reasons explain why someone ought to act in a certain way. Ideally, the two overlap, but they can come apart. For example, liking chocolate cake is a motivational reason for eating it while having high blood pressure is a normative reason for not eating it. The problem of rationality is primarily concerned with normative reasons. This is especially true for various contemporary philosophers who hold that rationality can be reduced to normative reasons. The distinction between motivational and normative reasons is usually accepted, but many theorists have raised doubts that rationality can be identified with normativity. On this view, rationality may sometimes recommend suboptimal actions, for example, because the agent lacks important information or has false information. In this regard, discussions between internalism and externalism overlap with discussions of the normativity of rationality.

Relativity

An important implication of internalist conceptions is that rationality is relative to the person's perspective or mental states. Whether a belief or an action is rational usually depends on which mental states the person has. So carrying an umbrella for the walk to the supermarket is rational for a person believing that it will rain but irrational for another person who lacks this belief. According to Robert Audi, this can be explained in terms of experience: what is rational depends on the agent's experience. Since different people make different experiences, there are differences in what is rational for them.

Normativity

Rationality is normative in the sense that it sets up certain rules or standards of correctness: to be rational is to comply with certain requirements. For example, rationality requires that the agent does not have contradictory beliefs. Many discussions on this issue concern the question of what exactly these standards are. Some theorists characterize the normativity of rationality in the deontological terms of obligations and permissions. Others understand them from an evaluative perspective as good or valuable. A further approach is to talk of rationality based on what is praise- and blameworthy. It is important to distinguish the norms of rationality from other types of norms. For example, some forms of fashion prescribe that men do not wear bell-bottom trousers. Understood in the strongest sense, a norm prescribes what an agent ought to do or what they have most reason to do. The norms of fashion are not norms in this strong sense: that it is unfashionable does not mean that men ought not to wear bell-bottom trousers.

Most discussions of the normativity of rationality are interested in the strong sense, i.e. whether agents ought always to be rational. This is sometimes termed a substantive account of rationality in contrast to structural accounts. One important argument in favor of the normativity of rationality is based on considerations of praise- and blameworthiness. It states that we usually hold each other responsible for being rational and criticize each other when we fail to do so. This practice indicates that irrationality is some form of fault on the side of the subject that should not be the case. A strong counterexample to this position is due to John Broome, who considers the case of a fish an agent wants to eat. It contains salmonella, which is a decisive reason why the agent ought not to eat it. But the agent is unaware of this fact, which is why it is rational for them to eat the fish. So this would be a case where normativity and rationality come apart. This example can be generalized in the sense that rationality only depends on the reasons accessible to the agent or how things appear to them. What one ought to do, on the other hand, is determined by objectively existing reasons. In the ideal case, rationality and normativity may coincide but they come apart either if the agent lacks access to a reason or if he has a mistaken belief about the presence of a reason. These considerations are summed up in the statement that rationality supervenes only on the agent's mind but normativity does not.

But there are also thought experiments in favor of the normativity of rationality. One, due to Frank Jackson, involves a doctor who receives a patient with a mild condition and has to prescribe one out of three drugs: drug A resulting in a partial cure, drug B resulting in a complete cure, or drug C resulting in the patient's death. The doctor's problem is that they cannot tell which of the drugs B and C results in a complete cure and which one in the patient's death. The objectively best case would be for the patient to get drug B, but it would be highly irresponsible for the doctor to prescribe it given the uncertainty about its effects. So the doctor ought to prescribe the less effective drug A, which is also the rational choice. This thought experiment indicates that rationality and normativity coincide since what is rational and what one ought to do depends on the agent's mind after all.

Some theorists have responded to these thought experiments by distinguishing between normativity and responsibility. On this view, critique of irrational behavior, like the doctor prescribing drug B, involves a negative evaluation of the agent in terms of responsibility but remains silent on normative issues. On a competence-based account, which defines rationality in terms of the competence of responding to reasons, such behavior can be understood as a failure to execute one's competence. But sometimes we are lucky and we succeed in the normative dimension despite failing to perform competently, i.e. rationally, due to being irresponsible. The opposite can also be the case: bad luck may result in failure despite a responsible, competent performance. This explains how rationality and normativity can come apart despite our practice of criticizing irrationality.

Normative and descriptive theories

The concept of normativity can also be used to distinguish different theories of rationality. Normative theories explore the normative nature of rationality. They are concerned with rules and ideals that govern how the mind should work. Descriptive theories, on the other hand, investigate how the mind actually works. This includes issues like under which circumstances the ideal rules are followed as well as studying the underlying psychological processes responsible for rational thought. Descriptive theories are often investigated in empirical psychology while philosophy tends to focus more on normative issues. This division also reflects how different these two types are investigated.

Descriptive and normative theorists usually employ different methodologies in their research. Descriptive issues are studied by empirical research. This can take the form of studies that present their participants with a cognitive problem. It is then observed how the participants solve the problem, possibly together with explanations of why they arrived at a specific solution. Normative issues, on the other hand, are usually investigated in similar ways to how the formal sciences conduct their inquiry. In the field of theoretical rationality, for example, it is accepted that deductive reasoning in the form of modus ponens leads to rational beliefs. This claim can be investigated using methods like rational intuition or careful deliberation toward a reflective equilibrium. These forms of investigation can arrive at conclusions about what forms of thought are rational and irrational without depending on empirical evidence.

An important question in this field concerns the relation between descriptive and normative approaches to rationality. One difficulty in this regard is that there is in many cases a huge gap between what the norms of ideal rationality prescribe and how people actually reason. Examples of normative systems of rationality are classical logic, probability theory, and decision theory. Actual reasoners often diverge from these standards because of cognitive biases, heuristics, or other mental limitations.

Traditionally, it was often assumed that actual human reasoning should follow the rules described in normative theories. In this view, any discrepancy is a form of irrationality that should be avoided. However, this usually ignores the human limitations of the mind. Given these limitations, various discrepancies may be necessary (and in this sense rational) to get the most useful results. For example, the ideal rational norms of decision theory demand that the agent should always choose the option with the highest expected value. However, calculating the expected value of each option may take a very long time in complex situations and may not be worth the trouble. This is reflected in the fact that actual reasoners often settle for an option that is good enough without making certain that it is really the best option available. A further difficulty in this regard is Hume's law, which states that one cannot deduce what ought to be based on what is. So just because a certain heuristic or cognitive bias is present in a specific case, it should not be inferred that it should be present. One approach to these problems is to hold that descriptive and normative theories talk about different types of rationality. This way, there is no contradiction between the two and both can be correct in their own field. Similar problems are discussed in so-called naturalized epistemology.

Conservatism and foundationalism

Rationality is usually understood as conservative in the sense that rational agents do not start from zero but already possess many beliefs and intentions. Reasoning takes place on the background of these pre-existing mental states and tries to improve them. This way, the original beliefs and intentions are privileged: one keeps them unless a reason to doubt them is encountered. Some forms of epistemic foundationalism reject this approach. According to them, the whole system of beliefs is to be justified by self-evident beliefs. Examples of such self-evident beliefs may include immediate experiences as well as simple logical and mathematical axioms.

An important difference between conservatism and foundationalism concerns their differing conceptions of the burden of proof. According to conservativism, the burden of proof is always in favor of already established belief: in the absence of new evidence, it is rational to keep the mental states one already has. According to foundationalism, the burden of proof is always in favor of suspending mental states. For example, the agent reflects on their pre-existing belief that the Taj Mahal is in Agra but is unable to access any reason for or against this belief. In this case, conservatives think it is rational to keep this belief while foundationalists reject it as irrational due to the lack of reasons. In this regard, conservatism is much closer to the ordinary conception of rationality. One problem for foundationalism is that very few beliefs, if any, would remain if this approach was carried out meticulously. Another is that enormous mental resources would be required to constantly keep track of all the justificatory relations connecting non-fundamental beliefs to fundamental ones.

Types

Rationality is discussed in a great variety of fields, often in very different terms. While some theorists try to provide a unifying conception expressing the features shared by all forms of rationality, the more common approach is to articulate the different aspects of the individual forms of rationality. The most common distinction is between theoretical and practical rationality. Other classifications include categories for ideal and bounded rationality as well as for individual and social rationality.

Theoretical and practical

The most influential distinction contrasts theoretical or epistemic rationality with practical rationality. Its theoretical side concerns the rationality of beliefs: whether it is rational to hold a given belief and how certain one should be about it. Practical rationality, on the other hand, is about the rationality of actions, intentions, and decisions. This corresponds to the distinction between theoretical reasoning and practical reasoning: theoretical reasoning tries to assess whether the agent should change their beliefs while practical reasoning tries to assess whether the agent should change their plans and intentions.

Theoretical

Theoretical rationality concerns the rationality of cognitive mental states, in particular, of beliefs. It is common to distinguish between two factors. The first factor is about the fact that good reasons are necessary for a belief to be rational. This is usually understood in terms of evidence provided by the so-called sources of knowledge, i.e. faculties like perception, introspection, and memory. In this regard, it is often argued that to be rational, the believer has to respond to the impressions or reasons presented by these sources. For example, the visual impression of the sunlight on a tree makes it rational to believe that the sun is shining. In this regard, it may also be relevant whether the formed belief is involuntary and implicit

The second factor pertains to the norms and procedures of rationality that govern how agents should form beliefs based on this evidence. These norms include the rules of inference discussed in regular logic as well as other norms of coherence between mental states. In the case of rules of inference, the premises of a valid argument offer support to the conclusion and make therefore the belief in the conclusion rational. The support offered by the premises can either be deductive or non-deductive. In both cases, believing in the premises of an argument makes it rational to also believe in its conclusion. The difference between the two is given by how the premises support the conclusion. For deductive reasoning, the premises offer the strongest possible support: it is impossible for the conclusion to be false if the premises are true. The premises of non-deductive arguments also offer support for their conclusion. But this support is not absolute: the truth of the premises does not guarantee the truth of the conclusion. Instead, the premises make it more likely that the conclusion is true. In this case, it is usually demanded that the non-deductive support is sufficiently strong if the belief in the conclusion is to be rational.

An important form of theoretical irrationality is motivationally biased belief, sometimes referred to as wishful thinking. In this case, beliefs are formed based on one's desires or what is pleasing to imagine without proper evidential support. Faulty reasoning in the form of formal and informal fallacies is another cause of theoretical irrationality.

Practical

All forms of practical rationality are concerned with how we act. It pertains both to actions directly as well as to mental states and events preceding actions, like intentions and decisions. There are various aspects of practical rationality, such as how to pick a goal to follow and how to choose the means for reaching this goal. Other issues include the coherence between different intentions as well as between beliefs and intentions.

Some theorists define the rationality of actions in terms of beliefs and desires. In this view, an action to bring about a certain goal is rational if the agent has the desire to bring about this goal and the belief that their action will realize it. A stronger version of this view requires that the responsible beliefs and desires are rational themselves. A very influential conception of the rationality of decisions comes from decision theory. In decisions, the agent is presented with a set of possible courses of action and has to choose one among them. Decision theory holds that the agent should choose the alternative that has the highest expected value. Practical rationality includes the field of actions but not of behavior in general. The difference between the two is that actions are intentional behavior, i.e. they are performed for a purpose and guided by it. In this regard, intentional behavior like driving a car is either rational or irrational while non-intentional behavior like sneezing is outside the domain of rationality.

For various other practical phenomena, there is no clear consensus on whether they belong to this domain or not. For example, concerning the rationality of desires, two important theories are proceduralism and substantivism. According to proceduralism, there is an important distinction between instrumental and noninstrumental desires. A desire is instrumental if its fulfillment serves as a means to the fulfillment of another desire. For example, Jack is sick and wants to take medicine to get healthy again. In this case, the desire to take the medicine is instrumental since it only serves as a means to Jack's noninstrumental desire to get healthy. Both proceduralism and substantivism usually agree that a person can be irrational if they lack an instrumental desire despite having the corresponding noninstrumental desire and being aware that it acts as a means. Proceduralists hold that this is the only way a desire can be irrational. Substantivists, on the other hand, allow that noninstrumental desires may also be irrational. In this regard, a substantivist could claim that it would be irrational for Jack to lack his noninstrumental desire to be healthy. Similar debates focus on the rationality of emotions.

Relation between the two

Theoretical and practical rationality are often discussed separately and there are many differences between them. In some cases, they even conflict with each other. However, there are also various ways in which they overlap and depend on each other.

It is sometimes claimed that theoretical rationality aims at truth while practical rationality aims at goodness. According to John Searle, the difference can be expressed in terms of "direction of fit". On this view, theoretical rationality is about how the mind corresponds to the world by representing it. Practical rationality, on the other hand, is about how the world corresponds to the ideal set up by the mind and how it should be changed. Another difference is that arbitrary choices are sometimes needed for practical rationality. For example, there may be two equally good routes available to reach a goal. On the practical level, one has to choose one of them if one wants to reach the goal. It would even be practically irrational to resist this arbitrary choice, as exemplified by Buridan's ass. But on the theoretical level, one does not have to form a belief about which route was taken upon hearing that someone reached the goal. In this case, the arbitrary choice for one belief rather than the other would be theoretically irrational. Instead, the agent should suspend their belief either way if they lack sufficient reasons. Another difference is that practical rationality is guided by specific goals and desires, in contrast to theoretical rationality. So it is practically rational to take medicine if one has the desire to cure a sickness. But it is theoretically irrational to adopt the belief that one is healthy just because one desires this. This is a form of wishful thinking.

In some cases, the demands of practical and theoretical rationality conflict with each other. For example, the practical reason of loyalty to one's child may demand the belief that they are innocent while the evidence linking them to the crime may demand a belief in their guilt on the theoretical level.

But the two domains also overlap in certain ways. For example, the norm of rationality known as enkrasia links beliefs and intentions. It states that "rationality requires of you that you intend to F if you believe your reasons require you to F". Failing to fulfill this requirement results in cases of irrationality known as akrasia or weakness of the will. Another form of overlap is that the study of the rules governing practical rationality is a theoretical matter. And practical considerations may determine whether to pursue theoretical rationality on a certain issue as well as how much time and resources to invest in the inquiry. It is often held that practical rationality presupposes theoretical rationality. This is based on the idea that to decide what should be done, one needs to know what is the case. But one can assess what is the case independently of knowing what should be done. So in this regard, one can study theoretical rationality as a distinct discipline independent of practical rationality but not the other way round. However, this independence is rejected by some forms of doxastic voluntarism. They hold that theoretical rationality can be understood as one type of practical rationality. This is based on the controversial claim that we can decide what to believe. It can take the form of epistemic decision theory, which states that people try to fulfill epistemic aims when deciding what to believe. A similar idea is defended by Jesús Mosterín. He argues that the proper object of rationality is not belief but acceptance. He understands acceptance as a voluntary and context-dependent decision to affirm a proposition.

Ideal and bounded

Various theories of rationality assume some form of ideal rationality, for example, by demanding that rational agents obey all the laws and implications of logic. This can include the requirement that if the agent believes a proposition, they should also believe in everything that logically follows from this proposition. However, many theorists reject this form of logical omniscience as a requirement for rationality. They argue that, since the human mind is limited, rationality has to be defined accordingly to account for how actual finite humans possess some form of resource-limited rationality.

According to the position of bounded rationality, theories of rationality should take into account cognitive limitations, such as incomplete knowledge, imperfect memory, and limited capacities of computation and representation. An important research question in this field is about how cognitive agents use heuristics rather than brute calculations to solve problems and make decisions. According to the satisficing heuristic, for example, agents usually stop their search for the best option once an option is found that meets their desired achievement level. In this regard, people often do not continue to search for the best possible option, even though this is what theories of ideal rationality commonly demand. Using heuristics can be highly rational as a way to adapt to the limitations of the human mind, especially in complex cases where these limitations make brute calculations impossible or very time- and resource-intensive.

Individual and social

Most discussions and research in the academic literature focus on individual rationality. This concerns the rationality of individual persons, for example, whether their beliefs and actions are rational. But the question of rationality can also be applied to groups as a whole on the social level. This form of social or collective rationality concerns both theoretical and practical issues like group beliefs and group decisions. And just like in the individual case, it is possible to study these phenomena as well as the processes and structures that are responsible for them. On the social level, there are various forms of cooperation to reach a shared goal. In theoretical cases, a group of jurors may first discuss and then vote to determine whether the defendant is guilty. Or in the practical case, politicians may cooperate to implement new regulations to combat climate change. These forms of cooperation can be judged on their social rationality depending on how they are implemented and on the quality of the results they bear. Some theorists try to reduce social rationality to individual rationality by holding that the group processes are rational to the extent that the individuals participating in them are rational. But such a reduction is frequently rejected.

Various studies indicate that group rationality often outperforms individual rationality. For example, groups of people working together on the Wason selection task usually perform better than individuals by themselves. This form of group superiority is sometimes termed "wisdom of crowds" and may be explained based on the claim that competent individuals have a stronger impact on the group decision than others. However, this is not always the case and sometimes groups perform worse due to conformity or unwillingness to bring up controversial issues.

Others

Many other classifications are discussed in the academic literature. One important distinction is between approaches to rationality based on the output or on the process. Process-oriented theories of rationality are common in cognitive psychology and study how cognitive systems process inputs to generate outputs. Output-oriented approaches are more common in philosophy and investigate the rationality of the resulting states. Another distinction is between relative and categorical judgments of rationality. In the relative case, rationality is judged based on limited information or evidence while categorical judgments take all the evidence into account and are thus judgments all things considered. For example, believing that one's investments will multiply can be rational in a relative sense because it is based on one's astrological horoscope. But this belief is irrational in a categorical sense if the belief in astrology is itself irrational.

Importance

Rationality is central to solving many problems, both on the local and the global scale. This is often based on the idea that rationality is necessary to act efficiently and to reach all kinds of goals. This includes goals from diverse fields, such as ethical goals, humanist goals, scientific goals, and even religious goals. The study of rationality is very old and has occupied many of the greatest minds since ancient Greek. This interest is often motivated by discovering the potentials and limitations of our minds. Various theorists even see rationality as the essence of being human, often in an attempt to distinguish humans from other animals. However, this strong affirmation has been subjected to many criticisms, for example, that humans are not rational all the time and that non-human animals also show diverse forms of intelligence.

The topic of rationality is relevant to a variety of disciplines. It plays a central role in philosophy, psychology, Bayesianism, decision theory, and game theory. But it is also covered in other disciplines, such as artificial intelligence, behavioral economics, microeconomics, and neuroscience. Some forms of research restrict themselves to one specific domain while others investigate the topic in an interdisciplinary manner by drawing insights from different fields.

Paradoxes of rationality

The term paradox of rationality has a variety of meanings. It is often used for puzzles or unsolved problems of rationality. Some are just situations where it is not clear what the rational person should do. Others involve apparent faults within rationality itself, for example, where rationality seems to recommend a suboptimal course of action. A special case are so-called rational dilemmas, in which it is impossible to be rational since two norms of rationality conflict with each other. Examples of paradoxes of rationality include Pascal's Wager, the Prisoner's dilemma, Buridan's ass, and the St. Petersburg paradox.

History

Max Weber

German scholar Max Weber notably articulated a theory of rationality that divided human capacity to think through things in four ways.

The German scholar Max Weber proposed an interpretation of social action that distinguished between four different idealized types of rationality.

The first, which he called Zweckrational or purposive/instrumental rationality, is related to the expectations about the behavior of other human beings or objects in the environment. These expectations serve as means for a particular actor to attain ends, ends which Weber noted were "rationally pursued and calculated." The second type, Weber called Wertrational or value/belief-oriented. Here the action is undertaken for what one might call reasons intrinsic to the actor: some ethical, aesthetic, religious or other motives, independent of whether it will lead to success. The third type was affectual, determined by an actor's specific affect, feeling, or emotion—to which Weber himself said that this was a kind of rationality that was on the borderline of what he considered "meaningfully oriented." The fourth was traditional or conventional, determined by ingrained habituation. Weber emphasized that it was very unusual to find only one of these orientations: combinations were the norm. His usage also makes clear that he considered the first two as more significant than the others, and it is arguable that the third and fourth are subtypes of the first two.

The advantage in Weber's interpretation of rationality is that it avoids a value-laden assessment, say, that certain kinds of beliefs are irrational. Instead, Weber suggests that ground or motive can be given—for religious or affect reasons, for example—that may meet the criterion of explanation or justification even if it is not an explanation that fits the Zweckrational orientation of means and ends. The opposite is therefore also true: some means-ends explanations will not satisfy those whose grounds for action are Wertrational.

Weber's constructions of rationality have been critiqued both from a Habermasian (1984) perspective (as devoid of social context and under-theorised in terms of social power) and also from a feminist perspective (Eagleton, 2003) whereby Weber's rationality constructs are viewed as imbued with masculine values and oriented toward the maintenance of male power. An alternative position on rationality (which includes both bounded rationality, as well as the affective and value-based arguments of Weber) can be found in the critique of Etzioni (1988), who reframes thought on decision-making to argue for a reversal of the position put forward by Weber. Etzioni illustrates how purposive/instrumental reasoning is subordinated by normative considerations (ideas on how people 'ought' to behave) and affective considerations (as a support system for the development of human relationships).

Richard Brandt

Richard Brandt proposed a "reforming definition" of rationality, arguing someone is rational if their notions survive a form of cognitive-psychotherapy.

Robert Audi

Robert Audi developed a comprehensive account of rationality that covers both the theoretical and the practical side of rationality. This account centers on the notion of a ground: a mental state is rational if it is "well-grounded" in a source of justification. Irrational mental states, on the other hand, lack a sufficient ground. For example, the perceptual experience of a tree when looking outside the window can ground the rationality of the belief that there is a tree outside.

Audi is committed to a form of foundationalism: the idea that justified beliefs, or in his case, rational states in general, can be divided into two groups: the foundation and the superstructure. The mental states in the superstructure receive their justification from other rational mental states while the foundational mental states receive their justification from a more basic source. For example, the above-mentioned belief that there is a tree outside is foundational since it is based on a basic source: perception. Knowing that trees grow in soil, we may deduce that there is soil outside. This belief is equally rational, being supported by an adequate ground, but it belongs to the superstructure since its rationality is grounded in the rationality of another belief. Desires, like beliefs, form a hierarchy: intrinsic desires are at the foundation while instrumental desires belong to the superstructure. In order to link the instrumental desire to the intrinsic desire an extra element is needed: a belief that the fulfillment of the instrumental desire is a means to the fulfillment of the intrinsic desire.

Audi asserts that all the basic sources providing justification for the foundational mental states come from experience. As for beliefs, there are four types of experience that act as sources: perception, memory, introspection, and rational intuition. The main basic source of the rationality of desires, on the other hand, comes in the form of hedonic experience: the experience of pleasure and pain. So, for example, a desire to eat ice-cream is rational if it is based on experiences in which the agent enjoyed the taste of ice-cream, and irrational if it lacks such a support. Because of its dependence on experience, rationality can be defined as a kind of responsiveness to experience.

Actions, in contrast to beliefs and desires, do not have a source of justification of their own. Their rationality is grounded in the rationality of other states instead: in the rationality of beliefs and desires. Desires motivate actions. Beliefs are needed here, as in the case of instrumental desires, to bridge a gap and link two elements. Audi distinguishes the focal rationality of individual mental states from the global rationality of persons. Global rationality has a derivative status: it depends on the focal rationality. Or more precisely: "Global rationality is reached when a person has a sufficiently integrated system of sufficiently well-grounded propositional attitudes, emotions, and actions". Rationality is relative in the sense that it depends on the experience of the person in question. Since different people undergo different experiences, what is rational to believe for one person may be irrational to believe for another person. That a belief is rational does not entail that it is true.

In various fields

Ethics and morality

The problem of rationality is relevant to various issues in ethics and morality. Many debates center around the question of whether rationality implies morality or is possible without it. Some examples based on common sense suggest that the two can come apart. For example, some immoral psychopaths are highly intelligent in the pursuit of their schemes and may, therefore, be seen as rational. However, there are also considerations suggesting that the two are closely related to each other. For example, according to the principle of universality, "one's reasons for acting are acceptable only if it is acceptable that everyone acts on such reasons". A similar formulation is given in Immanuel Kant's categorical imperative: "act only according to that maxim whereby you can, at the same time, will that it should become a universal law". The principle of universality has been suggested as a basic principle both for morality and for rationality. This is closely related to the question of whether agents have a duty to be rational. Another issue concerns the value of rationality. In this regard, it is often held that human lives are more important than animal lives because humans are rational.

Psychology

Many psychological theories have been proposed to describe how reasoning happens and what underlying psychological processes are responsible. One of their goals is to explain how the different types of irrationality happen and why some types are more prevalent than others. They include mental logic theories, mental model theories, and dual process theories. An important psychological area of study focuses on cognitive biases. Cognitive biases are systematic tendencies to engage in erroneous or irrational forms of thinking, judging, and acting. Examples include the confirmation bias, the self-serving bias, the hindsight bias, and the Dunning–Kruger effect. Some empirical findings suggest that metacognition is an important aspect of rationality. The idea behind this claim is that reasoning is carried out more efficiently and reliably if the responsible thought processes are properly controlled and monitored.

The Wason selection task is an influential test for studying rationality and reasoning abilities. In it, four cards are placed before the participants. Each has a number on one side and a letter on the opposite side. In one case, the visible sides of the four cards are A, D, 4, and 7. The participant is then asked which cards need to be turned around in order to verify the conditional claim "if there is a vowel on one side of the card, then there is an even number on the other side of the card". The correct answer is A and 7. But this answer is only given by about 10%. Many choose card 4 instead even though there is no requirement on what letters may appear on its opposite side. An important insight from using these and similar tests is that the rational ability of the participants is usually significantly better for concrete and realistic cases than for abstract or implausible cases. Various contemporary studies in this field use Bayesian probability theory to study subjective degrees of belief, for example, how the believer's certainty in the premises is carried over to the conclusion through reasoning.

In the psychology of reasoning, psychologists and cognitive scientists have defended different positions on human rationality. One prominent view, due to Philip Johnson-Laird and Ruth M. J. Byrne among others is that humans are rational in principle but they err in practice, that is, humans have the competence to be rational but their performance is limited by various factors. However, it has been argued that many standard tests of reasoning, such as those on the conjunction fallacy, on the Wason selection task, or the base rate fallacy suffer from methodological and conceptual problems. This has led to disputes in psychology over whether researchers should (only) use standard rules of logic, probability theory and statistics, or rational choice theory as norms of good reasoning. Opponents of this view, such as Gerd Gigerenzer, favor a conception of bounded rationality, especially for tasks under high uncertainty. The concept of rationality continues to be debated by psychologists, economists and cognitive scientists.

The psychologist Jean Piaget gave an influential account of how the stages in human development from childhood to adulthood can be understood in terms of the increase of rational and logical abilities. He identifies four stages associated with rough age groups: the sensorimotor stage below the age of two, the preoperational state until the age of seven, the concrete operational stage until the age of eleven, and the formal operational stage afterward. Rational or logical reasoning only takes place in the last stage and is related to abstract thinking, concept formation, reasoning, planning, and problem-solving.

Emotions

According to A. C. Grayling, rationality "must be independent of emotions, personal feelings or any kind of instincts". Certain findings in cognitive science and neuroscience show that no human has ever satisfied this criterion, except perhaps a person with no affective feelings, for example, an individual with a massively damaged amygdala or severe psychopathy. Thus, such an idealized form of rationality is best exemplified by computers, and not people. However, scholars may productively appeal to the idealization as a point of reference.  In his book, The Edge of Reason: A Rational Skeptic in an Irrational World, British philosopher Julian Baggini sets out to debunk myths about reason (e.g., that it is "purely objective and requires no subjective judgment").

Cognitive and behavioral sciences

Cognitive and behavioral sciences try to describe, explain, and predict how people think and act. Their models are often based on the assumption that people are rational. For example, classical economics is based on the assumption that people are rational agents that maximize expected utility. However, people often depart from the ideal standards of rationality in various ways. For example, they may only look for confirming evidence and ignore disconfirming evidence. Another factor studied in this regard are the limitations of human intellectual capacities. Many discrepancies from rationality are caused by limited time, memory, or attention. Often heuristics and rules of thumb are used to mitigate these limitations, but they may lead to new forms of irrationality.

Logic

Theoretical rationality is closely related to logic, but not identical to it. Logic is often defined as the study of correct arguments. This concerns the relation between the propositions used in the argument: whether its premises offer support to its conclusion. Theoretical rationality, on the other hand, is about what to believe or how to change one's beliefs. The laws of logic are relevant to rationality since the agent should change their beliefs if they violate these laws. But logic is not directly about what to believe. Additionally, there are also other factors and norms besides logic that determine whether it is rational to hold or change a belief. The study of rationality in logic is more concerned with epistemic rationality, that is, attaining beliefs in a rational manner, than instrumental rationality.

Decision theory

An influential account of practical rationality is given by decision theory. Decisions are situations where a number of possible courses of action are available to the agent, who has to choose one of them. Decision theory investigates the rules governing which action should be chosen. It assumes that each action may lead to a variety of outcomes. Each outcome is associated with a conditional probability and a utility. The expected gain of an outcome can be calculated by multiplying its conditional probability with its utility. The expected utility of an act is equivalent to the sum of all expected gains of the outcomes associated with it. From these basic ingredients, it is possible to define the rationality of decisions: a decision is rational if it selects the act with the highest expected utility. While decision theory gives a very precise formal treatment of this issue, it leaves open the empirical problem of how to assign utilities and probabilities. So decision theory can still lead to bad empirical decisions if it is based on poor assignments.

According to decision theorists, rationality is primarily a matter of internal consistency. This means that a person's mental states like beliefs and preferences are consistent with each other or do not go against each other. One consequence of this position is that people with obviously false beliefs or perverse preferences may still count as rational if these mental states are consistent with their other mental states. Utility is often understood in terms of self-interest or personal preferences. However, this is not a necessary aspect of decisions theory and it can also be interpreted in terms of goodness or value in general.

Game theory

Game theory is closely related to decision theory and the problem of rational choice. Rational choice is based on the idea that rational agents perform a cost-benefit analysis of all available options and choose the option that is most beneficial from their point of view. In the case of game theory, several agents are involved. This further complicates the situation since whether a given option is the best choice for one agent may depend on choices made by other agents. Game theory can be used to analyze various situations, like playing chess, firms competing for business, or animals fighting over prey. Rationality is a core assumption of game theory: it is assumed that each player chooses rationally based on what is most beneficial from their point of view. This way, the agent may be able to anticipate how others choose and what their best choice is relative to the behavior of the others. This often results in a Nash equilibrium, which constitutes a set of strategies, one for each player, where no player can improve their outcome by unilaterally changing their strategy.

Bayesianism

A popular contemporary approach to rationality is based on Bayesian epistemology. Bayesian epistemology sees belief as a continuous phenomenon that comes in degrees. For example, Daniel is relatively sure that the Boston Celtics will win their next match and absolutely certain that two plus two equals four. In this case, the degree of the first belief is weaker than the degree of the second belief. These degrees are usually referred to as credences and represented by numbers between 0 and 1, where 0 corresponds to full disbelief, 1 corresponds to full belief and 0.5 corresponds to suspension of belief. Bayesians understand this in terms of probability: the higher the credence, the higher the subjective probability that the believed proposition is true. As probabilities, they are subject to the laws of probability theory. These laws act as norms of rationality: beliefs are rational if they comply with them and irrational if they violate them. For example, it would be irrational to have a credence of 0.9 that it will rain tomorrow together with another credence of 0.9 that it will not rain tomorrow. This account of rationality can also be extended to the practical domain by requiring that agents maximize their subjective expected utility. This way, Bayesianism can provide a unified account of both theoretical and practical rationality.

Economics

Rationality plays a key role in economics and there are several strands to this. Firstly, there is the concept of instrumentality—basically the idea that people and organisations are instrumentally rational—that is, adopt the best actions to achieve their goals. Secondly, there is an axiomatic concept that rationality is a matter of being logically consistent within your preferences and beliefs. Thirdly, people have focused on the accuracy of beliefs and full use of information—in this view, a person who is not rational has beliefs that do not fully use the information they have.

Debates within economic sociology also arise as to whether or not people or organizations are "really" rational, as well as whether it makes sense to model them as such in formal models. Some have argued that a kind of bounded rationality makes more sense for such models.

Others think that any kind of rationality along the lines of rational choice theory is a useless concept for understanding human behavior; the term homo economicus (economic man: the imaginary man being assumed in economic models who is logically consistent but amoral) was coined largely in honor of this view. Behavioral economics aims to account for economic actors as they actually are, allowing for psychological biases, rather than assuming idealized instrumental rationality.

Artificial intelligence

The field of artificial intelligence is concerned, among other things, with how problems of rationality can be implemented and solved by computers. Within artificial intelligence, a rational agent is typically one that maximizes its expected utility, given its current knowledge. Utility is the usefulness of the consequences of its actions. The utility function is arbitrarily defined by the designer, but should be a function of "performance", which is the directly measurable consequences, such as winning or losing money. In order to make a safe agent that plays defensively, a nonlinear function of performance is often desired, so that the reward for winning is lower than the punishment for losing. An agent might be rational within its own problem area, but finding the rational decision for arbitrarily complex problems is not practically possible. The rationality of human thought is a key problem in the psychology of reasoning.

International relations

There is an ongoing debate over the merits of using "rationality" in the study of international relations (IR). Some scholars hold it indispensable. Others are more critical. Still, the pervasive and persistent usage of "rationality" in political science and IR is beyond dispute. "Rationality" remains ubiquitous in this field. Abulof finds that Some 40% of all scholarly references to "foreign policy" allude to "rationality"—and this ratio goes up to more than half of pertinent academic publications in the 2000s. He further argues that when it comes to concrete security and foreign policies, IR employment of rationality borders on "malpractice": rationality-based descriptions are largely either false or unfalsifiable; many observers fail to explicate the meaning of "rationality" they employ; and the concept is frequently used politically to distinguish between "us and them."

Criticism

The concept of rationality has been subject to criticism by various philosophers who question its universality and capacity to provide a comprehensive understanding of reality and human existence.

Friedrich Nietzsche, in his work "Beyond Good and Evil" (1886), criticized the overemphasis on rationality and argued that it neglects the irrational and instinctual aspects of human nature. Nietzsche advocated for a reevaluation of values based on individual perspectives and the will to power, stating, "There are no facts, only interpretations."

Martin Heidegger, in "Being and Time" (1927), offered a critique of the instrumental and calculative view of reason, emphasizing the primacy of our everyday practical engagement with the world. Heidegger challenged the notion that rationality alone is the sole arbiter of truth and understanding.

Max Horkheimer and Theodor Adorno, in their seminal work "Dialectic of Enlightenment" (1947), questioned the Enlightenment's rationality. They argued that the dominance of instrumental reason in modern society leads to the domination of nature and the dehumanization of individuals. Horkheimer and Adorno highlighted how rationality narrows the scope of human experience and hinders critical thinking.

Michel Foucault, in "Discipline and Punish" (1975) and "The Birth of Biopolitics" (1978), critiqued the notion of rationality as a neutral and objective force. Foucault emphasized the intertwining of rationality with power structures and its role in social control. He famously stated, "Power is not an institution, and not a structure; neither is it a certain strength we are endowed with; it is the name that one attributes to a complex strategic situation in a particular society."

These philosophers' critiques of rationality shed light on its limitations, assumptions, and potential dangers. Their ideas challenge the universal application of rationality as the sole framework for understanding the complexities of human existence and the world.

Digital divide

From Wikipedia, the free encyclopedia
https://en.wikipedia.org/wiki/Digital_divide

The digital divide is the unequal access to digital technology, including smartphones, tablets, laptops, and the internet. The digital divide worsens inequality around access to information and resources. In the Information Age, people without access to the Internet and other technology are at a disadvantage, for they are unable or less able to connect with others, find and apply for jobs, shop, and learn.

People who are homeless, living in poverty, elderly people, and those living in rural communities may have limited access to the Internet; in contrast, urban middle class and upper-class people have easy access to the Internet. Another divide is between producers and consumers of Internet content, which could be a result of educational disparities. While social media use varies across age groups, a US 2010 study reported no racial divide.

History

The historical roots of the digital divide in America refer to the increasing gap that occurred during the early modern period between those who could and could not access the real time forms of calculation, decision-making, and visualization offered via written and printed media. Within this context, ethical discussions regarding the relationship between education and the free distribution of information were raised by thinkers such as Immanuel Kant, Jean Jacques Rousseau, and Mary Wollstonecraft (1712–1778). The latter advocated that governments should intervene to ensure that any society's economic benefits should be fairly and meaningfully distributed. Amid the Industrial Revolution in Great Britain, Rousseau's idea helped to justify poor laws that created a safety net for those who were harmed by new forms of production. Later when telegraph and postal systems evolved, many used Rousseau's ideas to argue for full access to those services, even if it meant subsidizing hard-to-serve citizens. Thus, "universal services" referred to innovations in regulation and taxation that would allow phone services such as AT&T in the United States to serve hard-to-serve rural users. In 1996, as telecommunications companies merged with Internet companies, the Federal Communications Commission adopted Telecommunications Services Act of 1996 to consider regulatory strategies and taxation policies to close the digital divide. Though the term "digital divide" was coined among consumer groups that sought to tax and regulate information and communications technology (ICeT) companies to close the digital divide, the topic soon moved onto a global stage. The focus was the World Trade Organization which passed a Telecommunications Services Act, which resisted regulation of ICT companies so that they would be required to serve hard to serve individuals and communities. In 1999, to assuage anti-globalization forces, the WTO hosted the "Financial Solutions to Digital Divide" in Seattle, US, co-organized by Craig Warren Smith of Digital Divide Institute and Bill Gates Sr. the chairman of the Bill and Melinda Gates Foundation. It catalyzed a full-scale global movement to close the digital divide, which quickly spread to all sectors of the global economy. In 2000, US president Bill Clinton mentioned the term in the State of the Union Address.

During the COVID-19 pandemic

At the outset of the COVID-19 pandemic, governments worldwide issued stay-at-home orders that established lockdowns, quarantines, restrictions, and closures. The resulting interruptions to schooling, public services, and business operations drove nearly half of the world's population into seeking alternative methods to live while in isolation. These methods included telemedicine, virtual classrooms, online shopping, technology-based social interactions and working remotely, all of which require access to high-speed or broadband internet access and digital technologies. A Pew Research Centre study reports that 90% of Americans describe the use of the Internet as "essential" during the pandemic. The accelerated use of digital technologies creates a landscape where the ability, or lack thereof, to access digital spaces becomes a crucial factor in everyday life.

According to the Pew Research Center, 59% of children from lower-income families were likely to face digital obstacles in completing school assignments. These obstacles included the use of a cellphone to complete homework, having to use public Wi-Fi because of unreliable internet service in the home and lack of access to a computer in the home. This difficulty, titled the homework gap, affects more than 30% of K-12 students living below the poverty threshold, and disproportionally affects American Indian/Alaska Native, Black, and Hispanic students. These types of interruptions or privilege gaps in education exemplify problems in the systemic marginalization of historically oppressed individuals in primary education. The pandemic exposed inequity causing discrepancies in learning.

A lack of "tech readiness", that is, confident and independent use of devices, was reported among the US elderly population; with more than 50% reporting an inadequate knowledge of devices and more than one-third reporting a lack of confidence. Moreover, according to a UN research paper, similar results can be found across various Asian countries, with those above the age of 74 reporting a lower and more confused usage of digital devices. This aspect of the digital divide and the elderly occurred during the pandemic as healthcare providers increasingly relied upon telemedicine to manage chronic and acute health conditions.

Aspects

There are various definitions of the digital divide, all with slightly different emphasis, which is evidenced by related concepts like digital inclusion, digital participation, digital skills, media literacy, and digital accessibility.

Infrastructure

The infrastructure by which individuals, households, businesses, and communities connect to the Internet address the physical mediums that people use to connect to the Internet such as desktop computers, laptops, basic mobile phones or smartphones, iPods or other MP3 players, gaming consoles such as Xbox or PlayStation, electronic book readers, and tablets such as iPads.

The digital divide measured in terms of bandwidth is not closing, but fluctuating up and down. Gini coefficients for telecommunication capacity (in kbit/s) among individuals worldwide

Traditionally, the nature of the divide has been measured in terms of the existing numbers of subscriptions and digital devices. Given the increasing number of such devices, some have concluded that the digital divide among individuals has increasingly been closing as the result of a natural and almost automatic process. Others point to persistent lower levels of connectivity among women, racial and ethnic minorities, people with lower incomes, rural residents, and less educated people as evidence that addressing inequalities in access to and use of the medium will require much more than the passing of time. Recent studies have measured the digital divide not in terms of technological devices, but in terms of the existing bandwidth per individual (in kbit/s per capita).

As shown in the Figure on the side, the digital divide in kbit/s is not monotonically decreasing but re-opens up with each new innovation. For example, "the massive diffusion of narrow-band Internet and mobile phones during the late 1990s" increased digital inequality, as well as "the initial introduction of broadband DSL and cable modems during 2003–2004 increased levels of inequality". During the mid-2000s, communication capacity was more unequally distributed than during the late 1980s, when only fixed-line phones existed. The most recent increase in digital equality stems from the massive diffusion of the latest digital innovations (i.e. fixed and mobile broadband infrastructures, e.g. 5G and fiber optics FTTH). Measurement methodologies of the digital divide, and more specifically an Integrated Iterative Approach General Framework (Integrated Contextual Iterative Approach – ICI) and the digital divide modeling theory under measurement model DDG (Digital Divide Gap) are used to analyze the gap existing between developed and developing countries, and the gap among the 27 members-states of the European Union. The Good Things Foundation, a UK non-profit organisation, collates data on the extent and impact of the digital divide in the UK and lobbies the government to fix digital exclusion

Skills and digital literacy

Research from 2001 showed that the digital divide is more than just an access issue and cannot be alleviated merely by providing the necessary equipment. There are at least three factors at play: information accessibility, information utilization, and information receptiveness. More than just accessibility, the digital divide consists of society's lack of knowledge on how to make use of the information and communication tools once they exist within a community. Information professionals have the ability to help bridge the gap by providing reference and information services to help individuals learn and utilize the technologies to which they do have access, regardless of the economic status of the individual seeking help.

Location

One can connect to the internet in a variety of locations, such as homes, offices, schools, libraries, public spaces, and Internet cafes. Levels of connectivity often vary between rural, suburban, and urban areas.

In 2017, the Wireless Broadband Alliance published the white paper The Urban Unconnected, which highlighted that in the eight countries with the world's highest GNP about 1.75 billion people had no internet connection, and one third of them lived in the major urban centers. Delhi (5.3 millions, 9% of the total population), São Paulo (4.3 millions, 36%), New York (1.6 mln, 19%), and Moscow (2.1 mln, 17%) registered the highest percentages of citizens who had no internet access of any type.

As of 2021, only about half of the world's population had access to the internet, leaving 3.7 billion people without internet. A majority of those are in developing countries, and a large portion of them are women. Also, the governments of different countries have different policies about privacy, data governance, speech freedoms and many other factors. Government restrictions make it challenging for technology companies to provide services in certain countries. This disproportionately impacts the different regions of the world; Europe has the highest percentage of the population online while Africa has the lowest. From 2010 to 2014 Europe went from 67% to 75% and in the same time span Africa went from 10% to 19%.

Network speeds play a large role in the quality of an internet connection. Large cities and towns may have better access to high speed internet than rural areas, which may have limited or no service. Households can be locked into a specific service provider, since it may be the only carrier that even offers service to the area. This applies to regions that have developed networks, like the United States, but also applies to developing countries, so that very large areas have virtually no coverage. In those areas there are very limited actions that a consumer could take, since the issue is mainly infrastructure. Technologies that provide an internet connection through satellite are becoming more common, like Starlink, but they are still not available in many regions.

Based on location, a connection may be so slow as to be virtually unusable, solely because a network provider has limited infrastructure in the area. For example, to download 5 GB of data in Taiwan it might take about 8 minutes, while the same download might take 30 hours in Yemen.

From 2020 to 2022, average download speeds in the EU climbed from 70 Mbps to more than 120 Mbps, owing mostly to the demand for digital services during the pandemic. There is still a large rural-urban disparity in internet speeds, with metropolitan areas in France and Denmark reaching rates of more than 150 Mbps, while many rural areas in Greece, Croatia, and Cyprus have speeds of less than 60 Mbps.

The EU aspires for complete gigabit coverage by 2030, however as of 2022, only over 60% of Europe has high-speed internet infrastructure, signalling the need for more enhancements.

Applications

Common Sense Media, a nonprofit group based in San Francisco, surveyed almost 1,400 parents and reported in 2011 that 47 percent of families with incomes more than $75,000 had downloaded apps for their children, while only 14 percent of families earning less than $30,000 had done so.

Reasons and correlating variables

As of 2014, the gap in a digital divide was known to exist for a number of reasons. Obtaining access to ICTs and using them actively has been linked to demographic and socio-economic characteristics including income, education, race, gender, geographic location (urban-rural), age, skills, awareness, political, cultural and psychological attitudes. Multiple regression analysis across countries has shown that income levels and educational attainment are identified as providing the most powerful explanatory variables for ICT access and usage. Evidence was found that Caucasians are much more likely than non-Caucasians to own a computer as well as have access to the Internet in their homes. As for geographic location, people living in urban centers have more access and show more usage of computer services than those in rural areas.

In developing countries, a digital divide between women and men is apparent in tech usage, with men more likely to be competent tech users. Controlled statistical analysis has shown that income, education and employment act as confounding variables and that women with the same level of income, education and employment actually embrace ICT more than men (see Women and ICT4D), this argues against any suggestion that women are "naturally" more technophobic or less tech-savvy. However, each nation has its own set of causes or the digital divide. For example, the digital divide in Germany is unique because it is not largely due to difference in quality of infrastructure.

The correlation between income and internet use suggests that the digital divide persists at least in part due to income disparities. Most commonly, a digital divide stems from poverty and the economic barriers that limit resources and prevent people from obtaining or otherwise using newer technologies.

In research, while each explanation is examined, others must be controlled to eliminate interaction effects or mediating variables, but these explanations are meant to stand as general trends, not direct causes. Measurements for the intensity of usages, such as incidence and frequency, vary by study. Some report usage as access to Internet and ICTs while others report usage as having previously connected to the Internet. Some studies focus on specific technologies, others on a combination (such as Infostate, proposed by Orbicom-UNESCO, the Digital Opportunity Index, or ITU's ICT Development Index).

Economic gap in the United States

During the mid-1990s, the United States Department of Commerce, National Telecommunications & Information Administration (NTIA) began publishing reports about the Internet and access to and usage of the resource. The first of three reports is titled "Falling Through the Net: A Survey of the "Have Nots" in Rural and Urban America" (1995), the second is "Falling Through the Net II: New Data on the Digital Divide" (1998), and the final report "Falling Through the Net: Defining the Digital Divide" (1999). The NTIA's final report attempted clearly to define the term digital divide as "the divide between those with access to new technologies and those without". Since the introduction of the NTIA reports, much of the early, relevant literature began to reference the NTIA's digital divide definition. The digital divide is commonly defined as being between the "haves" and "have-nots".

The U.S. Federal Communications Commission's (FCC) 2019 Broadband Deployment Report indicated that 21.3 million Americans do not have access to wired or wireless broadband internet. As of 2020, BroadbandNow, an independent research company studying access to internet technologies, estimated that the actual number of United States Americans without high-speed internet is twice that number. According to a 2021 Pew Research Center report, smartphone ownership and internet use has increased for all Americans, however, a significant gap still exists between those with lower incomes and those with higher incomes: U.S. households earning $100K or more are twice as likely to own multiple devices and have home internet service as those making $30K or more, and three times as likely as those earning less than $30K per year. The same research indicated that 13% of the lowest income households had no access to internet or digital devices at home compared to only 1% of the highest income households.

According to a Pew Research Center survey of U.S. adults executed from January 25 to February 8, 2021, the digital lives of Americans with high and low incomes are varied. Conversely, the proportion of Americans that use home internet or cell phones has maintained constant between 2019 and 2021. A quarter of those with yearly average earnings under $30,000 (24%) says they don't own smartphones. Four out of every ten low-income people (43%) do not have home internet access or a computer (43%). Furthermore, the more significant part of lower-income Americans does not own a tablet device.

On the other hand, every technology is practically universal among people earning $100,000 or higher per year. Americans with larger family incomes are also more likely to buy a variety of internet-connected products. Wi-Fi at home, a smartphone, a computer, and a tablet are used by around six out of ten families making $100,000 or more per year, compared to 23 percent in the lesser household.

Racial gap in the United States

Although many groups in society are affected by a lack of access to computers or the Internet, communities of color are specifically observed to be negatively affected by the digital divide. Pew research shows that as of 2021, home broadband rates are 81% for White households, 71% for Black households and 65% for Hispanic households. While 63% of adults find the lack of broadband to be a disadvantage, only 49% of White adults do. Smartphone and tablet ownership remains consistent with about 8 out of 10 Black, White, and Hispanic individuals reporting owning a smartphone and half owning a tablet. A 2021 survey found that a quarter of Hispanics rely on their smartphone and do not have access to broadband.

Physical and mental disability gap

Inequities in access to information technologies are present among individuals living with a physical disability in comparison to those who are not living with a disability. In 2011, according to the Pew Research Center, 54% of households with a person who had a disability had home Internet access, compared to 81% of households that did not have a person who has a disability. The type of disability an individual has can prevent them from interacting with computer screens and smartphone screens, such as having a quadriplegia disability or having a disability in the hands. However, there is still a lack of access to technology and home Internet access among those who have a cognitive and auditory disability as well. There is a concern of whether or not the increase in the use of information technologies will increase equality through offering opportunities for individuals living with disabilities or whether it will only add to the present inequalities and lead to individuals living with disabilities being left behind in society. Issues such as the perception of disabilities in society, national and regional government policy, corporate policy, mainstream computing technologies, and real-time online communication have been found to contribute to the impact of the digital divide on individuals with disabilities. In 2022, a survey of people in the UK with severe mental illness found that 42% lacked basic digital skills, such as changing passwords or connecting to Wi-Fi.

People with disabilities are also the targets of online abuse. Online disability hate crimes have increased by 33% across the UK between 2016–17 and 2017–18 according to a report published by Leonard Cheshire, a health and welfare charity. Accounts of online hate abuse towards people with disabilities were shared during an incident in 2019 when model Katie Price's son was the target of online abuse that was attributed to him having a disability. In response to the abuse, a campaign was launched by Price to ensure that Britain's MPs held accountable those who perpetuate online abuse towards those with disabilities. Online abuse towards individuals with disabilities is a factor that can discourage people from engaging online which could prevent people from learning information that could improve their lives. Many individuals living with disabilities face online abuse in the form of accusations of benefit fraud and "faking" their disability for financial gain, which in some cases leads to unnecessary investigations.

Gender gap

Due to the rapidly declining price of connectivity and hardware, skills deficits have eclipsed barriers of access as the primary contributor to the gender digital divide. Studies show that women are less likely to know how to leverage devices and Internet access to their full potential, even when they do use digital technologies. In rural India, for example, a study found that the majority of women who owned mobile phones only knew how to answer calls. They could not dial numbers or read messages without assistance from their husbands, due to a lack of literacy and numeracy skills. A survey of 3,000 respondents across 25 countries found that adolescent boys with mobile phones used them for a wider range of activities, such as playing games and accessing financial services online. Adolescent girls in the same study tended to use just the basic functionalities of their phone, such as making calls and using the calculator. Similar trends can be seen even in areas where Internet access is near-universal. A survey of women in nine cities around the world revealed that although 97% of women were using social media, only 48% of them were expanding their networks, and only 21% of Internet-connected women had searched online for information related to health, legal rights or transport. In some cities, less than one quarter of connected women had used the Internet to look for a job.

Abilities and perceptions of abilities

Studies show that despite strong performance in computer and information literacy (CIL), girls do not have confidence in their ICT abilities. According to the International Computer and Information Literacy Study (ICILS) assessment girls' self-efficacy scores (their perceived as opposed to their actual abilities) for advanced ICT tasks were lower than boys'.

A paper published by J. Cooper from Princeton University points out that learning technology is designed to be receptive to men instead of women. Overall, the study presents the problem of various perspectives in society that are a result of gendered socialization patterns that believe that computers are a part of the male experience since computers have traditionally presented as a toy for boys when they are children. This divide is followed as children grow older and young girls are not encouraged as much to pursue degrees in IT and computer science. In 1990, the percentage of women in computing jobs was 36%, however in 2016, this number had fallen to 25%. This can be seen in the under representation of women in IT hubs such as Silicon Valley.

There has also been the presence of algorithmic bias that has been shown in machine learning algorithms that are implemented by major companies. In 2015, Amazon had to abandon a recruiting algorithm that showed a difference between ratings that candidates received for software developer jobs as well as other technical jobs. As a result, it was revealed that Amazon's machine algorithm was biased against women and favored male resumes over female resumes. This was due to the fact that Amazon's computer models were trained to vet patterns in resumes over a 10-year period. During this ten-year period, the majority of the resumes belong to male individuals, which is a reflection of male dominance across the tech industry.

Age gap

The age gap contributes to the digital divide due to the fact that people born before 1983 did not grow up with the internet. According to Marc Prensky, people who fall into this age range are classified as "digital immigrants." A digital immigrant is defined as "a person born or brought up before the widespread use of digital technology." The internet became officially available for public use on January 1, 1983; anyone born before then has had to adapt to the new age of technology. On the contrary, people born after 1983 are considered "digital natives". Digital natives are defined as people born or brought up during the age of digital technology.

Across the globe, there is a 10% difference in internet usage between people aged 15–24 years old and people aged 25 years or older. According to the International Telecommunication Union (ITU), 75% of people aged 15–24 used the internet in 2022 compared to 65% of people aged 25 years or older. The highest amount of digital divide between generations occurs in Africa with 55% of the younger age group using the internet compared to 36% of people aged 25 years or older. The lowest amount of divide occurs between the Commonwealth of Independent States with 91% of the younger age group using the internet compared to 83% of people aged 25 years or older.

In addition to being less connected with the internet, older generations are less likely to use financial technology, also known as fintech. Fintech is any way of managing money via digital devices. Some examples of fintech include digital payment apps such as Venmo and Apple Pay, tax services such as TurboTax, or applying for a mortgage digitally. In data from World Bank Findex, 40% of people younger than 40 years old utilized fintech compared to less than 25% of people aged 60 years or older.

Global level

The divide between differing countries or regions of the world is referred to as the global digital divide, which examines the technological gap between developing and developed countries. The divide within countries (such as the digital divide in the United States) may refer to inequalities between individuals, households, businesses, or geographic areas, usually at different socioeconomic levels or other demographic categories. In contrast, the global digital divide describes disparities in access to computing and information resources, and the opportunities derived from such access. As the internet rapidly expands it is difficult for developing countries to keep up with the constant changes. In 2014 only three countries (China, US, Japan) host 50% of the globally installed bandwidth potential. This concentration is not new, as historically only ten countries have hosted 70–75% of the global telecommunication capacity (see Figure). The U.S. lost its global leadership in terms of installed bandwidth in 2011, replaced by China, who hosted more than twice as much national bandwidth potential in 2014 (29% versus 13% of the global total).

Some zero-rating programs such as Facebook Zero offer free/subsidized data access to certain websites. Critics object that this is an anti-competitive program that undermines net neutrality and creates a "walled garden". A 2015 study reported that 65% of Nigerians, 61% of Indonesians, and 58% of Indians agree with the statement that "Facebook is the Internet" compared with only 5% in the US.

Implications

Social capital

Once an individual is connected, Internet connectivity and ICTs can enhance his or her future social and cultural capital. Social capital is acquired through repeated interactions with other individuals or groups of individuals. Connecting to the Internet creates another set of means by which to achieve repeated interactions. ICTs and Internet connectivity enable repeated interactions through access to social networks, chat rooms, and gaming sites. Once an individual has access to connectivity, obtains infrastructure by which to connect, and can understand and use the information that ICTs and connectivity provide, that individual is capable of becoming a "digital citizen."

Economic disparity

In the United States, the research provided by Unguarded Availability Services notes a direct correlation between a company's access to technological advancements and its overall success in bolstering the economy. The study, which includes over 2,000 IT executives and staff officers, indicates that 69 percent of employees feel they do not have access to sufficient technology to make their jobs easier, while 63 percent of them believe the lack of technological mechanisms hinders their ability to develop new work skills. Additional analysis provides more evidence to show how the digital divide also affects the economy in places all over the world. A BEG report suggests that in countries like Sweden, Switzerland, and the U.K., the digital connection among communities is made easier, allowing for their populations to obtain a much larger share of the economies via digital business. In fact, in these places, populations hold shares approximately 2.5 percentage points higher. During a meeting with the United Nations a Bangladesh representative expressed his concern that poor and undeveloped countries would be left behind due to a lack of funds to bridge the digital gap.

Education

The digital divide impacts children's ability to learn and grow in low-income school districts. Without Internet access, students are unable to cultivate necessary technological skills to understand today's dynamic economy. The need for the internet starts while children are in school – necessary for matters such as school portal access, homework submission, and assignment research. The Federal Communications Commission's Broadband Task Force created a report showing that about 70% of teachers give students homework that demand access to broadband. Approximately 65% of young scholars use the Internet at home to complete assignments as well as connect with teachers and other students via discussion boards and shared files. A recent study indicates that approximately 50% of students say that they are unable to finish their homework due to an inability to either connect to the Internet or in some cases, find a computer. Additionally, The Public Policy Institute of California reported in 2023 that 27% of the state’s school children lack the necessary broadband to attend school remotely, and 16% have no internet connection at all.

This has led to a new revelation: 42% of students say they received a lower grade because of this disadvantage. According to research conducted by the Center for American Progress, "if the United States were able to close the educational achievement gaps between native-born white children and black and Hispanic children, the U.S. economy would be 5.8 percent—or nearly $2.3 trillion—larger in 2050".

In a reverse of this idea, well-off families, especially the tech-savvy parents in Silicon Valley, carefully limit their own children's screen time. The children of wealthy families attend play-based preschool programs that emphasize social interaction instead of time spent in front of computers or other digital devices, and they pay to send their children to schools that limit screen time. American families that cannot afford high-quality childcare options are more likely to use tablet computers filled with apps for children as a cheap replacement for a babysitter, and their government-run schools encourage screen time during school. Students in school are also learning about the digital divide.

To reduce the impact of the digital divide and increase digital literacy in young people at an early age, governments have begun to develop and focus policy on embedding digital literacies in both student and educator programs, for instance, in Initial Teacher Training programs in Scotland.  The National Framework for Digital Literacies in Initial Teacher Education was developed by representatives from Higher Education institutions that offer Initial Teacher Education (ITE) programs in conjunction with the Scottish Council of Deans of Education (SCDE) with the support of Scottish Government  This policy driven approach aims to establish an academic grounding in the exploration of learning and teaching digital literacies and their impact on pedagogy as well as ensuring educators are equipped to teach in the rapidly evolving digital environment and continue their own professional development.

Demographic differences

Factors such as nationality, gender, and income contribute to the digital divide across the globe. Depending on what someone identifies as, their access to the internet can potentially decrease. According to a study conducted by the ITU in 2022, Africa has the fewest people on the internet at a 40% rate; the next lowest internet population is the Asia-Pacific region at 64%. Internet access remains a problem in Least Developing Countries and Landlocked Developing Countries. They both have 36% of people using the internet compared to a 66% average around the world.

Men generally have more access to the internet around the world. The gender parity score across the globe is 0.92. A gender parity score is calculated by the percentage of women who use the internet divided by the percentage of men who use the internet. Ideally, countries want to have gender parity scores between 0.98 and 1.02. The region with the least gender parity is Africa with a score of 0.75. The next lowest gender parity score belongs to the Arab States at 0.87. Americans, Commonwealth of Independent States, and Europe all have the highest gender parity scores with scores that do not go below 0.98 or higher than 1. Gender parity scores are often impacted by class. Low income regions have a score of 0.65 while upper-middle income and high income regions have a score of 0.99.

The difference between economic classes has been a prevalent issue with the digital divide up to this point. People who are considered to earn low income use the internet at a 26% rate followed by lower-middle income at 56%, upper-middle income at 79%, and high income at 92%. The staggering difference between low income individuals and high income individuals can be traced to the affordability of mobile products. Products are becoming more affordable as the years pass; according to the ITU, “the global median price of mobile-broadband services dropped from 1.9 percent to 1.5 percent of average gross national income (GNI) per capita.” There is still plenty of work to be done, as there is a 66% difference between low income individuals and high income individuals' access to the internet.

Facebook divide

The Facebook divide, a concept derived from the "digital divide", is the phenomenon with regard to access to, use of, and impact of Facebook on society. It was coined at the International Conference on Management Practices for the New Economy (ICMAPRANE-17) on February 10–11, 2017.

Additional concepts of Facebook Native and Facebook Immigrants were suggested at the conference. Facebook divide, Facebook native, Facebook immigrants, and Facebook left-behind are concepts for social and business management research. Facebook immigrants utilize Facebook for their accumulation of both bonding and bridging social capital. Facebook natives, Facebook immigrants, and Facebook left-behind induced the situation of Facebook inequality. In February 2018, the Facebook Divide Index was introduced at the ICMAPRANE conference in Noida, India, to illustrate the Facebook divide phenomenon.

Solutions

In the year 2000, the United Nations Volunteers (UNV) program launched its Online Volunteering service, which uses ICT as a vehicle for and in support of volunteering. It constitutes an example of a volunteering initiative that effectively contributes to bridge the digital divide. ICT-enabled volunteering has a clear added value for development. If more people collaborate online with more development institutions and initiatives, this will imply an increase in person-hours dedicated to development cooperation at essentially no additional cost. This is the most visible effect of online volunteering for human development.

Since May 17, 2006, the United Nations has raised awareness of the divide by way of the World Information Society Day. In 2001, it set up the Information and Communications Technology (ICT) Task Force. Later UN initiatives in this area are the World Summit on the Information Society since 2003, and the Internet Governance Forum, set up in 2006.

As of 2009, the borderline between ICT as a necessity good and ICT as a luxury good was roughly around US$10 per person per month, or US$120 per year, which means that people consider ICT expenditure of US$120 per year as a basic necessity. Since more than 40% of the world population lives on less than US$2 per day, and around 20% live on less than US$1 per day (or less than US$365 per year), these income segments would have to spend one third of their income on ICT (120/365 = 33%). The global average of ICT spending is at a mere 3% of income. Potential solutions include driving down the costs of ICT, which includes low-cost technologies and shared access through Telecentres.

In 2022, the US Federal Communications Commission started a proceeding "to prevent and eliminate digital discrimination and ensure that all people of the United States benefit from equal access to broadband internet access service, consistent with Congress's direction in the Infrastructure Investment and Jobs Act.

Social media websites serve as both manifestations of and means by which to combat the digital divide. The former describes phenomena such as the divided users' demographics that make up sites such as Facebook, WordPress and Instagram. Each of these sites hosts communities that engage with otherwise marginalized populations.

Libraries

A laptop lending kiosk at Texas A&M University–Commerce's Gee Library

In 2010, an "online indigenous digital library as part of public library services" was created in Durban, South Africa to narrow the digital divide by not only giving the people of the Durban area access to this digital resource, but also by incorporating the community members into the process of creating it.

In 2002, the Gates Foundation started the Gates Library Initiative which provides training assistance and guidance in libraries.

In Kenya, lack of funding, language, and technology illiteracy contributed to an overall lack of computer skills and educational advancement. This slowly began to change when foreign investment began. In the early 2000s, the Carnegie Foundation funded a revitalization project through the Kenya National Library Service. Those resources enabled public libraries to provide information and communication technologies to their patrons. In 2012, public libraries in the Busia and Kiberia communities introduced technology resources to supplement curriculum for primary schools. By 2013, the program expanded into ten schools.

Effective use

Even though individuals might be capable of accessing the Internet, many are opposed by barriers to entry, such as a lack of means to infrastructure or the inability to comprehend or limit the information that the Internet provides. Some individuals can connect, but they do not have the knowledge to use what information ICTs and Internet technologies provide them. This leads to a focus on capabilities and skills, as well as awareness to move from mere access to effective usage of ICT.

Community informatics (CI) focuses on issues of "use" rather than "access". CI is concerned with ensuring the opportunity not only for ICT access at the community level but also, according to Michael Gurstein, that the means for the "effective use" of ICTs for community betterment and empowerment are available. Gurstein has also extended the discussion of the digital divide to include issues around access to and the use of "open data" and coined the term "data divide" to refer to this issue area.

Criticism

Knowledge divide

Since gender, age, race, income, and educational digital divides have lessened compared to the past, some researchers suggest that the digital divide is shifting from a gap in access and connectivity to ICTs to a knowledge divide. A knowledge divide concerning technology presents the possibility that the gap has moved beyond the access and having the resources to connect to ICTs to interpreting and understanding information presented once connected.

Second-level digital divide

The second-level digital divide, also referred to as the production gap, describes the gap that separates the consumers of content on the Internet from the producers of content. As the technological digital divide is decreasing between those with access to the Internet and those without, the meaning of the term digital divide is evolving. Previously, digital divide research was focused on accessibility to the Internet and Internet consumption. However, with an increasing number of the population gaining access to the Internet, researchers are examining how people use the Internet to create content and what impact socioeconomics are having on user behavior.

New applications have made it possible for anyone with a computer and an Internet connection to be a creator of content, yet the majority of user-generated content available widely on the Internet, like public blogs, is created by a small portion of the Internet-using population. Web 2.0 technologies like Facebook, YouTube, Twitter, and Blogs enable users to participate online and create content without having to understand how the technology actually works, leading to an ever-increasing digital divide between those who have the skills and understanding to interact more fully with the technology and those who are passive consumers of it.

Some of the reasons for this production gap include material factors like the type of Internet connection one has and the frequency of access to the Internet. The more frequently a person has access to the Internet and the faster the connection, the more opportunities they have to gain the technology skills and the more time they have to be creative.

Other reasons include cultural factors often associated with class and socioeconomic status. Users of lower socioeconomic status are less likely to participate in content creation due to disadvantages in education and lack of the necessary free time for the work involved in blog or website creation and maintenance. Additionally, there is evidence to support the existence of the second-level digital divide at the K-12 level based on how educators' use technology for instruction. Schools' economic factors have been found to explain variation in how teachers use technology to promote higher-order thinking skills.

Lorentz factor

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