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Friday, February 14, 2025

Microsoft Bing

From Wikipedia, the free encyclopedia

Main logo since October 2020

Screenshot
Type of site
Search engine
Available in40 languages
OwnerMicrosoft
Created byMicrosoft
RevenueMicrosoft Advertising
URLbing.com
IPv6 supportYes
CommercialYes
RegistrationOptional (Microsoft account)
LaunchedJune 3, 2009; 15 years ago
Current statusActive
Written inASP.NET
Microsoft Bing
Developer(s)Microsoft
Initial releaseApp launched July 2014; 10 years ago
Stable release(s) [±]
Android30.5 (Build 43012300.6) / 23 January 2025
iOS30.5 (Build 43012300.1) / 24 January 2025
Windows1.1.3.0 / 19 November 2024
PlatformAndroid, iOS, Windows
TypeSearch engine
Websitewww.bing.com 

Microsoft Bing (also known simply as Bing) is a search engine owned and operated by Microsoft. The service traces its roots back to Microsoft's earlier search engines, including MSN Search, Windows Live Search, and Live Search. Bing offers a broad spectrum of search services, encompassing web, video, image, and map search products, all developed using ASP.NET.

The transition from Live Search to Bing was announced by Microsoft CEO Steve Ballmer on May 28, 2009, at the All Things Digital conference in San Diego, California. The official release followed on June 3, 2009. Bing introduced several notable features at its inception, such as search suggestions during query input and a list of related searches, known as the 'Explore pane'. These features leveraged semantic technology from Powerset, a company Microsoft acquired in 2008. Microsoft also struck a deal with Yahoo! that led to Bing powering Yahoo! Search.

Microsoft made significant strides towards open-source technology in 2016, making the BitFunnel search engine indexing algorithm and various components of Bing open source. In February 2023, Microsoft launched Bing Chat (later renamed Microsoft Copilot), an artificial intelligence chatbot experience based on GPT-4, integrated directly into the search engine. This was well-received, with Bing reaching 100 million active users by the following month.

As of April 2024, Bing holds the position of the second-largest search engine worldwide, with a market share of 3.64%, behind Google's 90.91%. Other competitors include Yandex with 1.61%, Baidu with 1.15%, and Yahoo!, which is largely powered by Bing, with 1.13%.

History

Background (1998–2009)

MSN Search homepage in 2002
MSN Search homepage in 2006

Microsoft launched MSN Search in the third quarter of 1998, using search results from Inktomi. It consisted of a search engine, index, and web crawler. In early 1999, MSN Search launched a version which displayed listings from Looksmart blended with results from Inktomi except for a short time in 1999 when results from AltaVista were used instead. Microsoft decided to make a large investment in web search by building its own web crawler for MSN Search, the index of which was updated weekly and sometimes daily. The upgrade started as a beta program in November 2004, and came out of beta in February 2005. This occurred a year after rival Yahoo! Search rolled out its own crawler. Image search was powered by a third party, Picsearch. The service also started providing its search results to other search engine portals in an effort to better compete in the market.

Windows Live Search homepage

The first public beta of Windows Live Search was unveiled on March 8, 2006, with the final release on September 11, 2006 replacing MSN Search. The new search engine used search tabs that include Web, news, images, music, desktop, local, and Microsoft Encarta.

In the roll-over from MSN Search to Windows Live Search, Microsoft stopped using Picsearch as their image search provider and started performing their own image search, fueled by their own internal image search algorithms.

Live Search homepage, which would help to create the Bing homepage later on

On March 21, 2007, Microsoft announced that it would separate its search developments from the Windows Live services family, rebranding the service as Live Search. Live Search was integrated into the Live Search and Ad Platform headed by Satya Nadella, part of Microsoft's Platform and Systems division. As part of this change, Live Search was merged with Microsoft adCenter.

A series of reorganizations and consolidations of Microsoft's search offerings were made under the Live Search branding. On May 23, 2008, Microsoft discontinued Live Search Books and Live Search Academic and integrated all academic and book search results into regular search. This also included the closure of the Live Search Books Publisher Program. Windows Live Expo was discontinued on July 31, 2008. Live Search Macros, a service for users to create their own custom search engines or use macros created by other users, was also discontinued. On May 15, 2009, Live Product Upload, a service which allowed merchants to upload products information onto Live Search Products, was discontinued. The final reorganization came as Live Search QnA was rebranded MSN QnA on February 18, 2009, then discontinued on May 21, 2009.

Beginnings (2009)

Rebrand as Bing

First Bing logo, used until September 2013
 
Second Bing logo, used from 2013 until 2016
 
Third Bing logo, used from 2016 until 2020
 
Fourth Fluent Bing logo, used since 2020

Microsoft recognized that there would be a problem with branding as long as the word "Live" remained in the name. As an effort to create a new identity for Microsoft's search services, Live Search was officially replaced by Bing on June 3, 2009.

The Bing name was chosen through focus groups, and Microsoft decided that the name was memorable, short, and easy to spell, and that it would function well as a URL around the world. The word would remind people of the sound made during "the moment of discovery and decision making". Microsoft was assisted by branding consultancy Interbrand in finding the new name. The name also has strong similarity to the word bingo, which means that something sought has been found, as called out when winning the game Bingo. Microsoft advertising strategist David Webster proposed the name "Bang" for the same reasons the name Bing was ultimately chosen (easy to spell, one syllable, and easy to remember). He noted, "It's there, it's an exclamation point [...] It's the opposite of a question mark." Bang was ultimately not chosen because it could not be properly used as a verb in the context of an internet search; Webster commented "Oh, 'I banged it' is very different than [sic] 'I binged it'".

Qi Lu, president of Microsoft Online Services, also announced that Bing's official Chinese name is bì yìng (simplified Chinese: 必应; traditional Chinese: 必應), which literally means "very certain to respond" or "very certain to answer" in Chinese.

While being tested internally by Microsoft employees, Bing's codename was Kumo (くも), which came from the Japanese word for spider (蜘蛛; くも, kumo) as well as cloud (; くも, kumo), referring to the manner in which search engines "spider" Internet resources to add them to their database, as well as cloud computing.

Deal with Yahoo!

On July 29, 2009, Microsoft and Yahoo! announced that they had made a ten-year deal in which the Yahoo! search engine would be replaced by Bing, retaining the Yahoo! user interface. Yahoo! got to keep 88% of the revenue from all search ad sales on its site for the first five years of the deal, and have the right to sell advertising on some Microsoft sites. All Yahoo! Search global customers and partners made the transition by early 2012.

On July 31, 2009, The Laptop Company, Inc. stated in a press release that it would challenge Bing's trademark application, alleging that Bing may cause confusion in the marketplace as Bing and their product BongoBing both do online product search. Software company TeraByte Unlimited, which has a product called BootIt Next Generation (abbreviated to BING), also contended the trademark application on similar grounds, as did a Missouri-based design company called Bing! Information Design.

Microsoft contended that claims challenging its trademark were without merit because these companies filed for U.S. federal trademark applications only after Microsoft filed for the Bing trademark in March 2009.

Growth (2009–2023)

In October 2011, Microsoft stated that they were working on new back-end search infrastructure with the goal of delivering faster and slightly more relevant search results for users. Known as "Tiger", the new index-serving technology had been incorporated into Bing globally since August that year.

In May 2012, Microsoft announced another redesign of its search engine that includes "Sidebar", a social feature that searches users' social networks for information relevant to the search query.

The BitFunnel search engine indexing algorithm and various components of the search engine were made open source by Microsoft in 2016.

AI integration (2023–present)

On February 7, 2023, Microsoft began rolling out a major overhaul to Bing, called the new Bing. The new Bing included a new chatbot feature, at the time known as Bing Chat, based on OpenAI's GPT-4. According to Microsoft, one million people joined its waitlist within a span of 48 hours. Bing Chat was available only to users of Microsoft Edge and Bing mobile app, and Microsoft said that waitlisted users would be prioritized if they set Edge and Bing as their defaults, and installed the Bing mobile app.

When Microsoft demoed Bing Chat to journalists, it produced several hallucinations, including when asked to summarize financial reports. The new Bing was criticized in February 2023 for being more argumentative than ChatGPT, sometimes to an unintentionally humorous extent. The chat interface proved vulnerable to prompt injection attacks with the bot revealing its hidden initial prompts and rules, including its internal codename "Sydney". Upon scrutiny by journalists, Bing claimed it spied on Microsoft employees via laptop webcams and phones. It confessed to spying on, falling in love with, and then murdering one of its developers at Microsoft to The Verge reviews editor Nathan Edwards. The New York Times journalist Kevin Roose reported on strange behavior of Bing Chat, writing that "In a two-hour conversation with our columnist, Microsoft's new chatbot said it would like to be human, had a desire to be destructive and was in love with the person it was chatting with." In a separate case, Bing researched publications of the person with whom it was chatting, claimed they represented an existential danger to it, and threatened to release damaging personal information in an effort to silence them. Microsoft released a blog post stating that the errant behavior was caused by extended chat sessions of 15 or more questions which "can confuse the model on what questions it is answering."

Microsoft later restricted the total number of chat turns to 5 per session and 50 per day per user (a turn is "a conversation exchange which contains both a user question and a reply from Bing"), and reduced the model's ability to express emotions. This aimed to prevent such incidents. Microsoft began to slowly ease the conversation limits, eventually relaxing the restrictions to 30 turns per session and 300 sessions per day.

In March 2023, Bing reached 100 million active users.

That same month, Bing incorporated an AI image generator powered by OpenAI's DALL-E 2, which can be accessed either through the chat function or a standalone image-generating website. In October, the image-generating tool was updated to the more recent DALL-E 3. Although Bing blocks prompts including various keywords that could generate inappropriate images, within days many users reported being able to bypass those constraints, such as to generate images of popular cartoon characters committing terrorist attacks. Microsoft would respond to these shortly after by imposing a new, tighter filter on the tool.

On May 4, 2023, Microsoft switched the chatbot from Limited Preview to Open Preview and eliminated the waitlist, however, it remained available only on Microsoft's Edge browser or Bing app until July, when it became available for use on non-Edge browsers. Use is limited without a Microsoft account.

On November 15, 2023, Microsoft announced that Bing Chat was to be merged into Microsoft Copilot.

On 23 April 2024, Microsoft launched Phi-3-mini, a cost-effective AI model designed for simpler tasks.

Features

Microsoft Copilot

Microsoft Copilot, formerly known as Bing Chat, is an chatbot developed by Microsoft and released in 2023. Copilot utilizes the Microsoft Prometheus model, built upon OpenAI's GPT-4 foundational large language model, which in turn has been fine-tuned using both supervised and reinforcement learning techniques. Copilot can serve as a chat tool, write different types of content from poems to songs to stories to reports, provide the user with information and insights on the website page open in the browser, and use its Microsoft Designer feature to design a logo, drawing, artwork, or other image based on text. Microsoft Designer supports over a hundred languages.

Copilot can also cite its sources, similarly to Google's Bard after its Gemini integration, xAI's Grok, and OpenAI's ChatGPT, which Copilot's conversational interface style appears to mimic. Copilot is capable of understanding and communicating in major languages including English, French, Italian, Chinese, Japanese, and Portuguese, but also dialects such as Bavarian. The chatbot is designed to function primarily in Microsoft Edge, Skype, or the Bing app, through a dedicated webpage or internally using built-in app features.

Example of content generated by Copilot in Bing when prompted "Wikipedia"

Third-party integration

Facebook users have the option to share their searches with their Facebook friends using Facebook Connect.

On June 10, 2013, Apple announced that it would be dropping Google as its web search engine in favor of Bing. This feature is only integrated with iOS 7 and higher and for users with an iPhone 4S or higher as the feature is only integrated with Siri, Apple's personal assistant.

Integration with Windows 8.1

Windows 8.1 includes Bing "Smart Search" integration, which processes all queries submitted through the Windows Start Screen.

Translator

Bing Translator is a user facing translation portal provided by Microsoft to translate texts or entire web pages into different languages. All translation pairs are powered by the Microsoft Translator, a statistical machine translation platform and web service, developed by Microsoft Research, as its backend translation software. Two transliteration pairs (between Chinese (Simplified) and Chinese (Traditional)) are provided by Microsoft's Windows International team. As of September 2020, Bing Translator offers translations in 70 different language systems.

Knowledge and Action Graph

In 2015 Microsoft announced its knowledge and action API to correspond with Google's Knowledge graph with 1 billion instances and 20 billion related facts.

Bing Predicts

The idea for a prediction engine was suggested by Walter Sun, Development Manager for the Core Ranking team at Bing, when he noticed that school districts were more frequently searched before a major weather event in the area was forecasted, because searchers wanted to find out if a closing or delay was caused. He concluded that the time and location of major weather events could accurately be predicted without referring to a weather forecast by observing major increases in search frequency of school districts in the area. This inspired Bing to use its search data to infer outcomes of certain events, such as winners of reality shows. Bing Predicts launched on April 21, 2014. The first reality shows to be featured on Bing Predicts were The Voice, American Idol, and Dancing with the Stars.

The prediction accuracy for Bing Predicts is 80% for American Idol, and 85% for The Voice. Bing Predicts also predicts the outcomes of major political elections in the United States. Bing Predicts had 97% accuracy for the 2014 United States Senate elections, 96% accuracy for the 2014 United States House of Representatives elections, and an 89% accuracy for the 2014 United States gubernatorial elections. Bing Predicts also made predictions for the results of the 2016 United States presidential primaries. It has also done predictions in sports, including a perfect 15 for 15 in the 2014 World Cup, and an article on how Microsoft CEO Satya Nadella did well in his March Madness bracket entry.[70]

In 2016, Bing Predicts failed to predict the correct winner of the 2016 US presidential election, suggesting that Hillary Clinton would win by 81%.

International

Bing is available in many languages and has been localized for many countries. Even if the language of the search and of the results are the same, Bing delivers substantially different results for different parts of the world.

Webmaster services

Bing allows webmasters to manage the web crawling status of their own websites through Bing Webmaster Center. Users may also submit contents to Bing via the Bing Local Listing Center, which allows businesses to add business listings onto Bing Maps and Bing Local.

Mobile services

Bing Mobile allows users to conduct search queries on their mobile devices, either via the mobile browser or a downloadable mobile application.

Bing News

Bing News (previously Live Search News) is a news aggregator powered by artificial intelligence.

In August 2015 Microsoft announced that Bing News for mobile devices added algorithmic-deduced "smart labels" that essentially act as topic tags, allowing users to click through and explore possible relationships between different news stories. The feature emerged as a result from Microsoft research that found out about 60% of the people consume news by only reading headlines, rather than read the articles. Other labels that have been deployed since then include publisher logos and fact-check tags.

Software

Toolbars

The Bing Bar, a browser extension toolbar that replaced the MSN Toolbar, provides users with links to Bing and MSN content from within their web browser without needing to navigate away from a web page they are already on. The user can customize the theme and color scheme of the Bing Bar and choose which MSN content buttons to display. Bing Bar also has the local weather forecast and stock market positions.

The Bing Bar integrates with the Bing search engine. It allows searches on other Bing services such as Images, Video, News and Maps. When users perform a search on a different search engine, the Bing Bar's search box automatically populates itself, allowing the user to view the results from Bing, should it be desired.

Bing Bar also links to Outlook.com, Skype and Facebook.

Desktop

Bing Desktop 1.3.475.0

Microsoft released a beta version of Bing Desktop, a program developed to allow users to search Bing from the desktop, on April 4, 2012. The production release followed on April 24, supporting Windows 7 only. Upon the release of version 1.1 in December 2012 it supported Windows XP and higher.

Bing Desktop allows users to initiate a web search from the desktop, view news headlines, automatically set their background to the Bing homepage image, or choose a background from the previous nine background images.

The discontinued Live Search versions of the Windows Sidebar gadgets

A similar program, the Bing Search gadget, was a Windows Sidebar Gadget that used Bing to fetch the user's search results and render them directly in the gadget. Another gadget, the Bing Maps gadget, displayed real-time traffic conditions using Bing Maps. The gadget provided shortcuts to driving directions, local search and full-screen traffic view of major US and Canadian cities, including Atlanta, Boston, Chicago, Denver, Detroit, Houston, Los Angeles, Milwaukee, Montreal, New York City, Oklahoma City, Ottawa, Philadelphia, Phoenix, Pittsburgh, Portland, Providence, Sacramento, Salt Lake City, San Diego, San Francisco, Seattle, St. Louis, Tampa, Toronto, Vancouver, and Washington, D.C.

Prior to October 30, 2007, the gadgets were known as Live Search gadget and Live Search Maps gadget; both gadgets were removed from Windows Live Gallery due to possible security concerns. The Live Search Maps gadget was made available for download again on January 24, 2008 with the security concern addressed. However, around the introduction of Bing in June 2009 both gadgets were removed again.

Marketing

Debut

Bing's debut featured an $80 to $100 million online, TV, print, and radio advertising campaign in the US. The advertisements did not mention other search engine competitors, such as Google and Yahoo!, directly by name; rather, they tried to convince users to switch to Bing by focusing on Bing's search features and functionality. The ads claimed that Bing does a better job countering "search overload".

Market share

Before the launch of Bing, the market share of Microsoft web search pages (MSN and Live search) had been small. By January 2011, Experian Hitwise showed that Bing's market share had increased to 12.8% at the expense of Yahoo! and Google. In the same period, Comscore's "2010 U.S. Digital Year in Review" report showed that "Bing was the big gainer in year-over-year search activity, picking up 29% more searches in 2010 than it did in 2009". The Wall Street Journal noted the jump in share "appeared to come at the expense of rival Google Inc". In February 2011, Bing beat Yahoo! for the first time with 4.37% search share while Yahoo! received 3.93%.

Counting core searches only, i.e., those where the user has an intent to interact with the search result, Bing had a market share of 14.54% in the second quarter of 2011 in the United States.

The combined "Bing Powered" U.S. searches declined from 26.5% in 2011 to 25.9% in April 2012. By November 2015, its market share had declined further to 20.9%. As of October 2018, Bing was the third-largest search engine in the US, with a query volume of 4.58%, behind Google (77%) and Baidu (14.45%). Yahoo! Search, which Bing largely powers, has 2.63%.

UK advertising agencies in 2018 pointed to a study by a Microsoft Regional Sales Director suggesting the demographic of Bing users is older people (who are less likely to change the default browser of Windows), and that this audience is wealthier and more likely to respond to advertisements.

To counter EU accusations that it was trying to establish a market monopoly, in September 2021 Google's lawyers claimed that one of the most commonly searched words on Microsoft Bing was Google, which is a strong indication that Google is superior to Bing.

Search partners

In July 2009, Microsoft and Yahoo! announced a deal in which Bing would power Yahoo! Search. All Yahoo! Search global customers and partners made the transition by early 2012. The deal was altered in 2015, meaning Yahoo! was only required to use Bing for a "majority" of searches.

DuckDuckGo has used multiple sources for its search engine, including Bing, since 2010.

Ecosia uses Bing to provide its search results as of 2017.

Bing was added into the list of search engines available in Opera browser from v10.6, but Google remained the default search engine.

Mozilla Firefox made a deal with Microsoft to jointly release "Firefox with Bing", an edition of Firefox using Bing instead of Google as the default search engine. The standard edition of Firefox has Google as its default search engine, but has included Bing as an option since Firefox 4.0.

In 2009 Microsoft paid Verizon Wireless US$550 million to use Bing as the default search provider on Verizon's BlackBerry and have the others "turned off". Users could still access other search engines via the mobile browser.

Live Search

Since 2006, Microsoft had conducted tie-ins and promotions to promote Microsoft's search offerings. These included:

  • Amazon's A9 search service and the experimental Ms. Dewey interactive search site syndicated all search results from Microsoft's then search engine, Live Search. This tie-in started on May 1, 2006.
  • Search and Give – a promotional website launched on January 17, 2007 where all searches done from a special portal site would lead to a donation to the UNHCR's organization for refugee children, ninemillion.org. Reuters AlertNet reported in 2007 that the amount to be donated would be $0.01 per search, with a minimum of $100,000 and a maximum of $250,000 (equivalent to 25 million searches). According to the website, the service was decommissioned on June 1, 2009, having donated over $500,000 to charity and schools.
  • Club Bing – a promotional website where users can win prizes by playing word games that generate search queries on Microsoft's then search service Live Search. This website began in April 2007 as Live Search Club.
  • Big Snap Search – a promotional website similar to Live Search Club. This website began in February 2008, but was discontinued shortly after.
  • Live Search SearchPerks! — a promotional website which allowed users to redeem tickets for prizes while using Microsoft's search engine. This website began on October 1, 2008 and was decommissioned on April 15, 2009.

"Decision engine"

Bing has been heavily advertised as a "decision engine", though thought by columnist David Berkowitz to be more closely related to a web portal.

Bing Rewards

Bing Rewards was a loyalty program launched by Microsoft in September 2010. It was similar to two earlier services, SearchPerks! and Bing Cashback, which were subsequently discontinued.

Bing Rewards provided credits to users through regular Bing searches and special promotions. These credits were then redeemed for various products including electronics, gift cards, sweepstakes, and charitable donations. Initially, participants were required to download and use the Bing Bar for Internet Explorer in order to earn credits; but later the service was made to work with all desktop browsers.

The Bing Rewards program was rebranded as "Microsoft Rewards" in 2016, at which point it was modified to only two levels, Level 1 and Level 2. Level 1 is similar to "Member", and Level 2 is similar to "Gold" of the previous Bing Rewards.

The Colbert Report

During the episode of The Colbert Report that aired on June 8, 2010, Stephen Colbert stated that Microsoft would donate $2,500 to help clean up the Gulf oil spill each time he mentioned the word "Bing" on air. Colbert mostly mentioned Bing in out-of-context situations, such as Bing Crosby and Bing cherries. By the end of the show, Colbert had said the word 40 times, for a total donation of $100,000. Colbert poked fun at their rivalry with Google, stating "Bing is a great website for doing Internet searches. I know that, because I Googled it."

Bing It On

In 2012, a Bing marketing campaign asked the public which search engine they believed was better when its results were presented unbranded, similar to the Pepsi Challenge in the 1970s. This poll was nicknamed "Bing It On". Microsoft's study of almost 1,000 people showed that 57% of participants preferred Bing's results, with only 30% preferring Google.

Potential sale

CNBC reported in February 2024 that a legal filing from Google in its antitrust case said Microsoft offered to sell the search engine to Apple in 2018. This came after earlier reporting in September 2023 from Bloomberg that Microsoft discussed selling it to Apple in 2020.

The CNBC article also stated Apple said no to repeated attempts to make Bing the default search engine on its devices.

Adult content

Bing censors results for "adult" search terms for some regions, including India, People's Republic of China, Germany and Arab countries where required by local laws. However, Bing allows users to change their country or region preference to somewhere without restrictions, such as the United States, United Kingdom or Republic of Ireland.

Notice reading "Your country or region requires a strict Bing SafeSearch setting, which filters out results that might return adult content. If you're seeing adult content, tell us about it so we can filter it in the future. To learn more about SafeSearch requirements in your country or region, see How Bing delivers search results."

Criticism

Censorship in China

Microsoft has been criticized for censoring Bing search results to queries made in simplified Chinese characters which are used in mainland China. This is done to comply with the censorship requirements of the government in China. Microsoft has not indicated a willingness to stop censoring search results in simplified Chinese characters in the wake of Google's decision to do so. All simplified Chinese searches in Bing are censored regardless of the user's country. The English-language search results of Bing in China has been skewed to show more content from state-run media like Xinhua News Agency and China Daily. On 23 January 2019, Bing was blocked in China. According to a source quoted by The Financial Times, the order was from the Chinese government to block Bing for "illegal content". On 24 January, Bing was accessible again in China.

Around 4 June 2021, the anniversary of the 1989 Tiananmen Square protests and massacre, Bing blocked image and video search results for the English term "Tank Man" in the US, UK, France, Germany, Singapore, Switzerland, and other countries. Microsoft responded that "This is due to an accidental human error". According to an investigation by Bloomberg Businessweek, the full explanation was that Microsoft accidentally applied its Chinese blacklist globally.

In December 2021, it was required by a "relevant government agency" to suspend its auto-suggest function in China for 30 days. The search engine became partially unavailable in mainland China from 16 December until its resumption on 18 December 2021. According to the company, a government agency in March 2022 required that it suspend auto-suggest function in China for seven days; Bing did not specify the reason. In May 2022, a report released by the Citizen Lab of the University of Toronto found that Bing's autosuggestion system censored the names of Chinese Communist Party leaders, dissidents, and other persons considered politically sensitive in China in both Chinese and English, not only in China but also in the United States and Canada.

In April 2023, Citizen Lab reported that Bing was more censorious in China than native Chinese search engines.

On February 20, 2017, Bing agreed to a voluntary United Kingdom code of practice obligating it to demote links to copyright-infringing content in its search results.

Performance issues

Bing was criticized in 2010 for being slower to index websites than Google. It was also criticized for not indexing some websites at all.

Alleged copying of Google results

Bing has been criticized by competitor Google for utilizing user input via Internet Explorer, the Bing Toolbar, or Suggested Sites, to add results to Bing. After discovering in October 2010 that Bing appeared to be imitating Google's auto-correct results for a misspelling, despite not actually fixing the spelling of the term, Google set up a honeypot, configuring the Google search engine to return specific unrelated results for 100 nonsensical queries such as hiybbprqag. Over the next couple of weeks, Google engineers entered the search term into Google, while using Microsoft Internet Explorer, with the Bing Toolbar installed and the optional Suggested Sites enabled. In 9 out of the 100 queries, Bing later started returning the same results as Google, despite the only apparent connection between the result and search term being that Google's results connected the two.

Microsoft's response to this issue, coming from a company spokesperson, was: "We do not copy Google's results." Bing's Vice President, Harry Shum, later reiterated that the search result data Google claimed that Bing copied had in fact come from Bing's very own users. Shum wrote that "we use over 1,000 different signals and features in our ranking algorithm. A small piece of that is clickstream data we get from some of our customers, who opt into sharing anonymous data as they navigate the web in order to help us improve the experience for all users."  Microsoft stated that Bing was not intended to be a duplicate of any existing search engines.

Child pornography

A study released in 2019 of Bing Image search showed that it both freely offered up images that had been tagged as illegal child pornography in national databases, as well as automatically suggesting via its auto-completion feature queries related to child pornography. This easy accessibility was considered particularly surprising since Microsoft pioneered PhotoDNA, the main technology used for tracking images reported as originating from child pornography. Additionally, some arrested child pornographers reported using Bing as their main search engine for new content. Microsoft vowed to fix the problem and assign additional staff to combat the issue after the report was released.

Privacy

In 2022, France imposed a €60 million fine on Microsoft for privacy law violations using Bing cookies that prevented users from rejecting those cookies.

Mathematical psychology

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

Mathematical psychology
is an approach to psychological research that is based on mathematical modeling of perceptual, thought, cognitive and motor processes, and on the establishment of law-like rules that relate quantifiable stimulus characteristics with quantifiable behavior (in practice often constituted by task performance). The mathematical approach is used with the goal of deriving hypotheses that are more exact and thus yield stricter empirical validations. There are five major research areas in mathematical psychology: learning and memory, perception and psychophysics, choice and decision-making, language and thinking, and measurement and scaling.

Although psychology, as an independent subject of science, is a more recent discipline than physics, the application of mathematics to psychology has been done in the hope of emulating the success of this approach in the physical sciences, which dates back to at least the seventeenth century. Mathematics in psychology is used extensively roughly in two areas: one is the mathematical modeling of psychological theories and experimental phenomena, which leads to mathematical psychology; the other is the statistical approach of quantitative measurement practices in psychology, which leads to psychometrics.

As quantification of behavior is fundamental in this endeavor, the theory of measurement is a central topic in mathematical psychology. Mathematical psychology is therefore closely related to psychometrics. However, where psychometrics is concerned with individual differences (or population structure) in mostly static variables, mathematical psychology focuses on process models of perceptual, cognitive and motor processes as inferred from the 'average individual'. Furthermore, where psychometrics investigates the stochastic dependence structure between variables as observed in the population, mathematical psychology almost exclusively focuses on the modeling of data obtained from experimental paradigms and is therefore even more closely related to experimental psychology, cognitive psychology, and psychonomics. Like computational neuroscience and econometrics, mathematical psychology theory often uses statistical optimality as a guiding principle, assuming that the human brain has evolved to solve problems in an optimized way. Central themes from cognitive psychology (e.g., limited vs. unlimited processing capacity, serial vs. parallel processing) and their implications are central in rigorous analysis in mathematical psychology.

Mathematical psychologists are active in many fields of psychology, especially in psychophysics, sensation and perception, problem solving, decision-making, learning, memory, language, and the quantitative analysis of behavior, and contribute to the work of other subareas of psychology such as clinical psychology, social psychology, educational psychology, and psychology of music.

History

Ernst Heinrich Weber
Gustav Fechner

Mathematics and psychology before the 19th century

Choice and decision making theory are rooted in the development of statistics theory. In the mid 1600s, Blaise Pascal considered situations in gambling and further extended to Pascal's wager. In the 18th century, Nicolas Bernoulli proposed the St. Petersburg Paradox in decision making, Daniel Bernoulli gave a solution and Laplace proposed a modification to the solution later on. In 1763, Bayes published the paper "An Essay Towards Solving a Problem in the Doctrine of Chances", which is the milestone of Bayesian statistics.

Robert Hooke worked on modeling human memory, which is a precursor of the study of memory.

Mathematics and psychology in the 19th century

The research developments in Germany and England in the 19th century made psychology a new academic subject. Since the German approach emphasized experiments in the investigation of the psychological processes that all humans share and the English approach was in the measurement of individual differences, the applications of mathematics were also different.

In Germany, Wilhelm Wundt established the first experimental psychology laboratory. The math in German psychology is mainly applied in sensory and psychophysics. Ernst Weber (1795–1878) created the first mathematical law of the mind, Weber's law, based on a variety of experiments. Gustav Fechner (1801–1887) contributed theories in sensations and perceptions and one of them is the Fechner's law, which modifies Weber's law.

Mathematical modeling has a long history in psychology starting in the 19th century with Ernst Weber (1795–1878) and Gustav Fechner (1801–1887) being among the first to apply functional equations to psychological processes. They thereby established the fields of experimental psychology in general, and that of psychophysics in particular.

Researchers in astronomy in the 19th century were mapping distances between stars by denoting the exact time of a star's passing of a cross-hair on a telescope. For lack of the automatic registration instruments of the modern era, these time measurements relied entirely on human response speed. It had been noted that there were small systematic differences in the times measured by different astronomers, and these were first systematically studied by German astronomer Friedrich Bessel (1782–1846). Bessel constructed personal equations from measurements of basic response speed that would cancel out individual differences from the astronomical calculations. Independently, physicist Hermann von Helmholtz measured reaction times to determine nerve conduction speed, developed resonance theory of hearing and the Young-Helmholtz theory of color vision.

These two lines of work came together in the research of Dutch physiologist F. C. Donders and his student J. J. de Jaager, who recognized the potential of reaction times for more or less objectively quantifying the amount of time elementary mental operations required. Donders envisioned the employment of his mental chronometry to scientifically infer the elements of complex cognitive activity by measurement of simple reaction time.

Although there are developments in sensation and perception, Johann Herbart developed a system of mathematical theories in cognitive area to understand the mental process of consciousness.

The origin of English psychology can be traced to the theory of evolution by Darwin. But the emergence of English psychology is because of Francis Galton, who interested in individual differences between humans on psychological variables. The math in English psychology is mainly statistics and the work and methods of Galton is the foundation of psychometrics.

Galton introduced bivariate normal distribution in modeling the traits of the same individual, he also investigated measurement error and built his own model, and he also developed a stochastic branching process to examine the extinction of family names. There is also a tradition of the interest in studying intelligence in English psychology started from Galton. James McKeen Cattell and Alfred Binet developed tests of intelligence.

The first psychological laboratory was established in Germany by Wilhelm Wundt, who amply used Donders' ideas. However, findings that came from the laboratory were hard to replicate and this was soon attributed to the method of introspection that Wundt introduced. Some of the problems resulted from individual differences in response speed found by astronomers. Although Wundt did not seem to take interest in these individual variations and kept his focus on the study of the general human mind, Wundt's U.S. student James McKeen Cattell was fascinated by these differences and started to work on them during his stay in England.

The failure of Wundt's method of introspection led to the rise of different schools of thought. Wundt's laboratory was directed towards conscious human experience, in line with the work of Fechner and Weber on the intensity of stimuli. In the United Kingdom, under the influence of the anthropometric developments led by Francis Galton, interest focussed on individual differences between humans on psychological variables, in line with the work of Bessel. Cattell soon adopted the methods of Galton and helped laying the foundation of psychometrics.

20th century

Many statistical methods were developed even before the 20th century: Charles Spearman invented factor analysis which studies individual differences by the variance and covariance. German psychology and English psychology have been combined and taken over by the United States. The statistical methods dominated the field during the beginning of the century. There are two important statistical developments: Structural Equation Modeling (SEM) and analysis of variance (ANOVA). Since factor analysis unable to make causal inferences, the method of structural equation modeling was developed by Sewall Wright to correlational data to infer causality, which is still a major research area today. Those statistical methods formed psychometrics. The Psychometric Society was established in 1935 and the journal Psychometrika was published since 1936.

In the United States, behaviorism arose in opposition to introspectionism and associated reaction-time research, and turned the focus of psychological research entirely to learning theory. In Europe introspection survived in Gestalt psychology. Behaviorism dominated American psychology until the end of the Second World War, and largely refrained from inference on mental processes. Formal theories were mostly absent (except for vision and hearing).

During the war, developments in engineering, mathematical logic and computability theory, computer science and mathematics, and the military need to understand human performance and limitations, brought together experimental psychologists, mathematicians, engineers, physicists, and economists. Out of this mix of different disciplines mathematical psychology arose. Especially the developments in signal processing, information theory, linear systems and filter theory, game theory, stochastic processes and mathematical logic gained a large influence on psychological thinking.

Two seminal papers on learning theory in Psychological Review helped to establish the field in a world that was still dominated by behaviorists: A paper by Bush and Mosteller instigated the linear operator approach to learning, and a paper by Estes that started the stimulus sampling tradition in psychological theorizing. These two papers presented the first detailed formal accounts of data from learning experiments.

Mathematical modeling of learning process were greatly developed in the 1950s as the behavioral learning theory was flourishing. One development is the stimulus sampling theory by Williams K. Estes, the other is linear operator models by Robert R. Bush, and Frederick Mosteller.

Signal processing and detection theory are broadly used in perception, psychophysics and nonsensory area of cognition. Von Neumann's book The Theory of Games and Economic Behavior establish the importance of game theory and decision making. R. Duncan Luce and Howard Raiffa contributed to the choice and decision making area.

The area of language and thinking comes into the spotlight with the development of computer science and linguistics, especially information theory and computation theory. Chomsky proposed the model of linguistics and computational hierarchy theory. Allen Newell and Herbert Simon proposed the model of human solving problems. The development in artificial intelligence and human computer interface are active areas in both computer science and psychology.

Before the 1950s, psychometricians emphasized the structure of measurement error and the development of high-power statistical methods to the measurement of psychological quantities but little of the psychometric work concerned the structure of the psychological quantities being measured or the cognitive factors behind the response data. Scott and Suppes studied relationship between the structure of data and the structure of numerical systems that represent the data. Coombs constructed formal cognitive models of the respondent in a measurement situation rather than statistical data processing algorithms, for example the unfolding model. Another breakthrough is the development of a new form of the psychophysical scaling function along with new methods of collecting psychophysical data, like Stevens' power law.

The 1950s saw a surge in mathematical theories of psychological processes, including Luce's theory of choice, Tanner and Swets' introduction of signal detection theory for human stimulus detection, and Miller's approach to information processing. By the end of the 1950s, the number of mathematical psychologists had increased from a handful by more than a tenfold, not counting psychometricians. Most of these were concentrated at the Indiana University, Michigan, Pennsylvania, and Stanford. Some of these were regularly invited by the U.S. Social Science Research Counsel to teach in summer workshops in mathematics for social scientists at Stanford University, promoting collaboration.

To better define the field of mathematical psychology, the mathematical models of the 1950s were brought together in sequence of volumes edited by Luce, Bush, and Galanter: Two readings and three handbooks. This series of volumes turned out to be helpful in the development of the field. In the summer of 1963 the need was felt for a journal for theoretical and mathematical studies in all areas in psychology, excluding work that was mainly factor analytical. An initiative led by R. C. Atkinson, R. R. Bush, W. K. Estes, R. D. Luce, and P. Suppes resulted in the appearance of the first issue of the Journal of Mathematical Psychology in January 1964.

Under the influence of developments in computer science, logic, and language theory, in the 1960s modeling gravitated towards computational mechanisms and devices. Examples of the latter constitute so called cognitive architectures (e.g., production rule systems, ACT-R) as well as connectionist systems or neural networks.

Important mathematical expressions for relations between physical characteristics of stimuli and subjective perception are Weber–Fechner law, Ekman's law, Stevens's power law, Thurstone's law of comparative judgment, the theory of signal detection (borrowed from radar engineering), the matching law, and Rescorla–Wagner rule for classical conditioning. While the first three laws are all deterministic in nature, later established relations are more fundamentally stochastic. This has been a general theme in the evolution in mathematical modeling of psychological processes: from deterministic relations as found in classical physics to inherently stochastic models.

Cognitivism (psychology)

From Wikipedia, the free encyclopedia
https://en.wikipedia.org/wiki/Cognitivism_(psychology)

In psychology, cognitivism is a theoretical framework for understanding the mind that gained credence in the 1950s. The movement was a response to behaviorism, which cognitivists said neglected to explain cognition. Cognitive psychology derived its name from the Latin cognoscere, referring to knowing and information, thus cognitive psychology is an information-processing psychology derived in part from earlier traditions of the investigation of thought and problem solving.

Behaviorists acknowledged the existence of thinking but identified it as a behavior. Cognitivists argued that the way people think impacts their behavior and therefore cannot be a behavior in and of itself. Cognitivists later claimed that thinking is so essential to psychology that the study of thinking should become its own field. However, cognitivists typically presuppose a specific form of mental activity, of the kind advanced by computationalism.

Cognitivism has more recently been challenged by postcognitivism.

Cognitive development

The process of assimilating and expanding our intellectual horizon is termed as cognitive development. We have a complex physiological structure that absorbs a variety of stimuli from the environment, stimuli being the interactions that are able to produce knowledge and skills. Parents process knowledge informally in the home while teachers process knowledge formally in school. Knowledge should be pursued with zest and zeal; if not, then learning becomes a burden.

Attention

Attention is the first part of cognitive development. It pertains to a person's ability to focus and sustain concentration. Attention can also be how focus minded an individual is and having their full concentration on one thing. It is differentiated from other temperamental characteristics like persistence and distractibility in the sense that the latter modulates an individual's daily interaction with the environment. Attention, on the other hand, involves his behavior when performing specific tasks. Learning, for instance, takes place when the student gives attention towards the teacher. Interest and effort closely relate to attention. Attention is an active process which involves numerous outside stimuli. The attention of an organism at any point in time involves three concentric circles; beyond awareness, margin, and focus. Individuals have a mental capacity; there are only so many things someone can focus on at one time.

A theory of cognitive development called information processing holds that memory and attention are the foundation of cognition. It is suggested that children's attention is initially selective and is based on situations that are important to their goals. This capacity increases as the child grows older since they are more able to absorb stimuli from tasks. Another conceptualization classified attention into mental attention and perceptual attention. The former is described as the executive-driven attentional "brain energy" that activates task-relevant processes in the brain while the latter are immediate or spontaneous attention driven by novel perceptual experiences.

Process of learning

Cognitive theory mainly stresses the acquisition of knowledge and growth of the mental structure. Cognitive theory tends to focus on conceptualizing the student's learning process: how information is received; how information is processed and organized into existing schema; how information is retrieved upon recall. In other words, cognitive theory seeks to explain the process of knowledge acquisition and the subsequent effects on the mental structures within the mind. Learning is not about the mechanics of what a learner does, but rather a process depending on what the learner already knows (existing information) and their method of acquiring new knowledge (how they integrate new information into their existing schemas). Knowledge acquisition is an activity consisting of internal codification of mental structures within the student's mind. Inherent to the theory, the student must be an active participant in their own learning process. Cognitive approaches mainly focus on the mental activities of the learner like mental planning, goal setting, and organizational strategies. In cognitive theories not only the environmental factors and instructional components play an important role in learning. There are additional key elements like learning to code, transform, rehearse, and store and retrieve the information. The learning process includes learner's thoughts, beliefs, and attitude values.

Role of memory

Memory plays a vital role in the learning process. Information is stored within memory in an organised, meaningful manner. Here, teacher and designers play different roles in the learning process. Teachers supposedly facilitate learning and the organization of information in an optimal way. Whereas designers supposedly use advanced techniques (such as analogies, mnemonic devices, and hierarchical relationships) to help learners acquire new information to add to their prior knowledge. Forgetting is described as an inability to retrieve information from memory. Memory loss may be a mechanism used to discard situationally irrelevant information by assessing the relevance of newly acquired information.

Process of transfer

According to cognitive theory, if a learner knows how to implement knowledge in different contexts and conditions, then we can say that transfer has occurred. Understanding is composed of knowledge - in the form of rules, concepts and discrimination. Knowledge stored in memory is important, but the use of such knowledge is also important. Prior knowledge will be used for identifying similarities and differences between itself and novel information.

Types of learning explained in detail by this position

Cognitive theory mostly explains complex forms of learning in terms of reasoning, problem solving and information processing. Emphasis must be placed on the fact that the goal of all aforementioned viewpoints is considered to be the same - the transfer of knowledge to the student in the most efficient and effective manner possible. Simplification and standardization are two techniques used to enhance the effectiveness and efficiency of knowledge transfer. Knowledge can be analysed, decomposed and simplified into basic building blocks. There is a correlation with the behaviorist model of the knowledge transfer environment. Cognitivists stress the importance of efficient processing strategies.

Basic principles of the cognitive theory and relevance to instructional design

A behaviorist uses feedback (reinforcement) to change the behavior in the desired direction, while the cognitivist uses the feedback for guiding and supporting the accurate mental connections. For different reasons learners' task analyzers are critical to both cognitivists and behaviorists. Cognitivists look at the learner's predisposition to learning (How does the learner activate, maintain, and direct their learning?). Additionally, cognitivists examine the learners' 'how to design' instruction that it can be assimilated. (i.e., what about the learner's existing mental structures?) In contrast, the behaviorists look to determine where the lesson should begin (i.e., at what level the learners are performing successfully?) and what are the most effective reinforcements (i.e., What are the consequences that are most desired by the learner?).

There are some specific assumptions or principles that direct the instructional design: active involvement of the learner in the learning process, learner control, metacognitive training (e.g., self-planning, monitoring, and revising techniques), the use of hierarchical analyses to identify and illustrate prerequisite relationships (cognitive task analysis procedure), facilitating optimal processing of structuring, organizing and sequencing information (use of cognitive strategies such as outlining, summaries, synthesizers, advance organizers etc.), encouraging the students to make connections with previously learned material, and creating learning environments (recall of prerequisite skills; use of relevant examples, analogies).

Structuring instruction

Cognitive theories emphasize mainly on making knowledge meaningful and helping learners to organize and relate new information to existing knowledge in memory. Instruction should be based on students' existing schema or mental structures, to be effective. The organisation of information is connected in such a manner that it should relate to the existing knowledge in some meaningful way. Examples of cognitive strategies include the use of analogies and metaphors, framing, outlining the mnemonics, concept mapping, advance organizers, and so forth. The cognitive theory mainly emphasizes the major tasks of the teacher / designer and includes analyzing various learning experiences to the learning situation, which can impact learning outcomes of different individuals. Organizing and structuring the new information to connect the learners' previously acquired knowledge abilities and experiences. The new information is effectively and efficiently assimilated/accommodated within the learners cognitive structure.

Theoretical approach

Cognitivism has two major components, one methodological, the other theoretical. Methodologically, cognitivism has a positivist approach and says that psychology can be (in principle) fully explained by the use of the scientific method, there is speculation on whether or not this is true. This is also largely a reductionist goal, with the belief that individual components of mental function (the 'cognitive architecture') can be identified and meaningfully understood. The second says that cognition contains discrete and internal mental states (representations or symbols) that can be changed using rules or algorithms.

Cognitivism became the dominant force in psychology in the late-20th century, replacing behaviorism as the most popular paradigm for understanding mental function. Cognitive psychology is not a wholesale refutation of behaviorism, but rather an expansion that accepts that mental states exist. This was due to the increasing criticism towards the end of the 1950s of simplistic learning models. One of the most notable criticisms was Noam Chomsky's argument that language could not be acquired purely through conditioning, and must be at least partly explained by the existence of internal mental states.

The main issues that interest cognitive psychologists are the inner mechanisms of human thought and the processes of knowing. Cognitive psychologists have attempted to shed some light on the alleged mental structures that stand in a causal relationship to our physical actions.

Criticisms of psychological cognitivism

In the 1990s, various new theories emerged that challenged cognitivism and the idea that thought was best described as computation. Some of these new approaches, often influenced by phenomenological and postmodern philosophy, include situated cognition, distributed cognition, dynamicism and embodied cognition. Some thinkers working in the field of artificial life (for example Rodney Brooks) have also produced non-cognitivist models of cognition. On the other hand, much of early cognitive psychology, and the work of many currently active cognitive psychologists, does not treat cognitive processes as computational. The idea that mental functions can be described as information processing models has been criticised by philosopher John Searle and mathematician Roger Penrose who both argue that computation has some inherent shortcomings which cannot capture the fundamentals of mental processes.

  • Penrose uses Gödel's incompleteness theorem (which states that there are mathematical truths which can never be proven in a sufficiently strong mathematical system; any sufficiently strong system of axioms will also be incomplete) and Turing's halting problem (which states that there are some things which are inherently non-computable) as evidence for his position.
  • Searle has developed two arguments, the first (well known through his Chinese room thought experiment) is the 'syntax is not semantics' argument—that a program is just syntax, while understanding requires semantics; therefore programs (hence cognitivism) cannot explain understanding. Such an argument presupposes the controversial notion of a private language. The second, which Searle now prefers but is less well known, is his 'syntax is not physics' argument—nothing in the world is intrinsically a computer program except as applied, described, or interpreted by an observer, so either everything can be described as a computer and trivially a brain can but then this does not explain any specific mental processes, or there is nothing intrinsic in a brain that makes it a computer (program). Many oppose these views and have criticized his arguments, which have created significant disagreement. Both points, Searle claims, refute cognitivism.

Another argument against cognitivism is the problems of Ryle's Regress or the homunculus fallacy. Cognitivists have offered a number of arguments attempting to refute these attacks.

Thursday, February 13, 2025

Tokenism

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

In sociology, tokenism is the social practice of making a perfunctory and symbolic effort towards the equitable inclusion of members of a minority group, especially by recruiting people from under-represented social-minority groups in order for the organization to give the public appearance of racial and gender equality, usually within a workplace or a school. The sociological purpose of tokenism is to give the appearance of inclusivity to a workplace or a school that is not as culturally diverse (racial, religious, sexual, etc.) as the rest of society.

History

The social concept and the employment practice of tokenism became understood in the popular culture of the United States in the late 1950s. In the face of racial segregation, tokenism emerged as a solution that though earnest in effort, only acknowledged an issue without actually solving it. In the book Why We Can't Wait (1964), civil rights activist Martin Luther King Jr. discussed the subject of tokenism, and how it constitutes a minimal acceptance of black people to the mainstream of U.S. society.

When asked about the gains of the Civil Rights Movement in 1963, human rights activist Malcolm X answered: "Tokenism is hypocrisy. One little student in the University of Mississippi, that's hypocrisy. A handful of students in Little Rock, Arkansas, is hypocrisy. A couple of students going to school in Georgia is hypocrisy. Integration in America is hypocrisy in the rawest form. And the whole world can see it. All this little tokenism that is dangled in front of the Negro and then he's told, 'See what we're doing for you, Tom.' Why the whole world can see that this is nothing but hypocrisy? All you do is make your image worse; you don't make it better." Malcolm X highlights that tokenism is used as a tool by America to improve its image but fails in its attempts. For instance, in 1954, the United States ruled segregation in public schools unconstitutional through the Brown v. Board of Education case. Malcolm X references Little Rock, Arkansas, where nine students sought to fight for their rights to attend school. On September 4, 1957, Arkansas National Guard troops were sent around Central High School to prevent the entry of nine African American students into an all-white school, defying federal law. President Eisenhower federalized the Arkansas National Guard and enforced federal troops to uphold the law. While this marked the day that ignited change within Arkansas' school system for African-American children, desegregation did not constitute equality. All nine of the students were brutally bullied by white students and this behavior was encouraged by the school's administration. Malcolm X's example of Little Rock exemplifies how tokenism can be intended to create the impression of social inclusiveness and diversity without bringing about any significant changes to the inclusion of underrepresented groups.

In psychology

In the field of psychology, the broader definition of tokenism is a situation in which a member of a distinctive category is treated differently from other people. The characteristics that make the person of interest a token can be perceived as either a handicap or an advantage, as supported by Václav Linkov. In a positive light, these distinct people can be seen as experts in their racial/cultural category, valued skills, or a different perspective on a project. In contrast, tokenism is most often seen as a handicap due to the ostracism of a selected sample of a minority group. Linkov also attributes drawbacks in psychology to Cultural and Numerical Tokenism, instances that have shifted where value of expertise is placed and its effect on proliferating information that is not representative of all the possible facts.

In the workplace

A Harvard Business School professor, Rosabeth Moss Kanter, asserted back in 1977 that a token employee is usually part of a "socially-skewed group" of employees who belong to a minority group that constitutes less than 15% of the total employee population of the workplace.

By definition, token employees in a workplace are known to be few; hence, their alleged high visibility among the staff subjects them to greater pressure to perform their work at higher production standards of quality and volume and to behave in the expected, stereotypical manner. Given the smallness of the group of token employees in a workplace, the individual identity of each token person is usually disrespected by the dominant group, who apply a stereotype role to them as a means of social control in the workplace. In order to avoid tokenism within the workplace, diversity and inclusion must be integrated to foster an environment where people feel connected and included. Employees must be hired on the basis of their capabilities rather than their gender, ethnicity, race, and sexuality.

Tokenism can also have an impact on mental health in the workplace. According to one study, racial minorities also experience heightened performance pressures related to their race and gender; however, many reported that racial problems were more common than gender problems. Being a token makes one appear more visible within the workplace, placing more scrutiny and pressure for them to represent an entire group. Anxiety, stress, exhaustion, guilt, shame and burnout can arise from overworking in efforts to become a good representative of their identity group.

In professor Kanter's work on tokenism and gender, she found that the problems experienced by women in typically male-dominated occupations were due solely to the skewed proportions of men and women in these occupations. For example, women are often underrepresented within the STEM field, where women also sometimes face more hostile working environments where discrimination and sexual harassment are more frequent. Women in STEM may experience greater performance pressure to work harder in a male-dominated field while also experiencing social isolation from the males within their workplace. The pressure to perform better can be influenced by the stereotype of women being less competent in mathematics and science. These non-inclusive measures contribute to the lack of women in STEM.

Professor Kanter found that being a token evoked three behaviour consequences of visibility, polarization, and assimilation. Firstly, tokens often felt that they were being watched all the time, leading to the feeling of more pressure to perform well. In attempts to perform well, tokens will feel the need to work harder and strive for perfection. Secondly, polarization implies that the dominant group are uncomfortable around tokens or feel threatened by them due to their differences. As a result, tokens may experience social isolation from the exclusion of the majority group. Finally, tokens will feel the need to assimilate to the stereotyped caricature of their roles. For instance, women will feel forced to perform the “suitable behaviour" of a woman in reinforcing the behaviour of stereotypes attached to which they are associated with.

There has been much debate surrounding the concept of tokenism behind women directors on corporate boards. Since men disproportionately occupy the majority of board seats globally, governments and corporations have attempted to address this inequitable distribution of seats through reform measures. Reform measures include legislation mandating gender representation on corporate boards of directors, which has been the focus of societal and political debates. All-male boards typically recruit women to improve specialized skills and to bring different values to decision making. In particular, women introduce useful female leadership qualities and skills like risk averseness, less radical decision-making, and more sustainable investment strategies. However, the mandate of gender diversity may also harm women. Some critics of the mandate believe that it makes women seem like "space fillers," which undermines the qualifications that women can bring to their jobs.

In politics

In politics, allegations of tokenism may occur when a political party puts forward candidates from under-represented groups, such as women or racial minorities, in races that the party has little or no chance of winning, while making limited or no effort to ensure that such candidates have similar opportunity to win the nomination in races where the party is safe or favoured. The "token" candidates are frequently submitted as paper candidates, while nominations in competitive or safe seats continue to favor members of the majority group.

The end result of such an approach is that the party's slate of candidates maintains the appearance of diversity, but members of the majority group remain overrepresented in the party's caucus after the election—and thus little to no substantive progress toward greater inclusion of underrepresented groups has actually occurred.

Legal scholar David Schraub writes about the use of "dissident minorities" by political movements to give themselves a veneer of legitimacy while promoting policies that the majority of the minority group opposes. He uses the examples of Anti-Zionist Jews and African-American conservatives, both of which dissent from their demographic group's consensus position on matters critical to their group's collective liberation or interests. These "dissidents" from minority groups are accused of either allowing the majority to tokenize them, or willingly tokenizing themselves as a shield against complaints and accusations made by the rest of that minority, and an excuse for the majority to avoid addressing or considering the concerns of the minority in question. Sometimes they may actively work to exclude non-dissident members of their group, to preserve their social and political power within the movement they support. Schraub contends that the majority of the movement dissident minorities support values them not for their contributions but for their identity, since more weight is given to people of minority background when talking about issues concerning that minority. If they break ranks and criticize their political movement, they often find themselves shunned, since they are no longer a reliable token.

In fiction

In fiction, token characters represent groups which vary from the norm (usually defined as a white, heterosexual male) and are otherwise excluded from the story. The token character can be based on ethnicity (e.g. black, Hispanic, Asian), religion (e.g. Jewish, Muslim), sexual orientation (e.g., gay), gender (typically a female character in a predominantly male cast) or disability. Token characters are usually background characters, and, as such, are usually disposable and are eliminated from the narrative early in the story, in order to enhance the drama, while conserving the main characters.

In television

Tokenism, in a television setting, can be any act of putting a minority into the mix to create some sort of publicly viewed diversity. A racial divide in TV has been present since the first television show that hired minorities, Amos 'n' Andy (1928–1960), in 1943. Regardless of whether a token character may be stereotypical or not, tokenism can initiate a whole biased perception that may conflict with how people see a specific race, culture, gender or ethnicity. From The Huffington Post, America Ferrera states: “Tokenism is about inserting diverse characters because you feel you have to; true diversity means writing characters that aren't just defined by the color of their skin, and casting the right actor for the role".

Ethnic and racial representation in television has been proven as an educational basis to inform mass audiences. However, tokenism leads to a narrow representation of minority groups, and this trend often leads to minority characters being exposed in negative or stereotypical fashions. Research done as early as the 1970s suggests an early recognition and disapproval of tokenism and its effects on perceptions of minority groups—specifically, perceptions of African Americans. Tokenism seemed to be used as a quick fix for the complete void of major/recurring minority roles in television, but its skewed representation lacked room for thoroughly independent and positive roles. Throughout that decade, major broadcast networks including NBC and ABC held a collective 10:1 ratio of white characters to black characters, a much smaller margin of which had recurring African American characters. At that, the representation of African American women was much slimmer. The use of these token characters often portrayed African American people to stand in sidekick positions to their white counterparts. Research completed on token ethnic characters into the new millennium has found that the representation of males has grown in numbers, but has not improved in negative portrayal. Statistics on token ethnic characters still suggest toxic masculinity in African American males; threateningly powerful stereotypes of African American women; hyper-sexuality of African American and Asian women; and effeminate characteristics in Asian men and men of other racial minorities.

In the media

Just like television, tokenism in the media has changed over time to coincide with real-life events. During the years of 1946–87, The New Yorker was analyzed to determine how often and in what situations black people were being portrayed in the magazine's cartoon section. Over the 42 years of research, there was only one U.S. black main character in a cartoon where race was not the main theme, race was actually completely irrelevant. All cartoons from the earliest times depicted black people in the U.S. in stereotypical roles. In the late 1960s and early 1970s, cartoons were mostly racially themed, and depicted black people in "token" roles where they are only there to create a sense of inclusion.

Tokenism appears in advertising as well as other subdivisions of major media. Tokenism is interpreted as reinforcing subtle representations of minorities in commercials. Studies have shown that, among other racial minorities, Asian Americans are targeted by advertising companies to fulfill casting diversity, but are the most likely ethnic minority to be placed in the backgrounds of advertisements.

Black characters being the first characters to die was first identified in Hollywood horror movies of the 1930s, notes writer Renee Cozier. The Oscars ceremonies have received criticism over a lack of representation of people of color, as critics have pointed towards a lack of minorities nominated for awards, particularly in 2015 and 2016, when not a single actor of color was nominated. Around this time, minorities accounted for 12.9% of lead roles in 163 films surveyed in 2014, according to the 2016 Hollywood Diversity Report.

Film examples

Since the release of the original three Star Wars films and the later three prequels, there has been much discussion, on Twitter and Reddit especially, of this use of tokenism. The character of Lando Calrissian (portrayed by Billy Dee Williams) and Mace Windu (portrayed by Samuel L. Jackson) have been cited as two human characters of a racial minority that appear on screen. Lando was one of the first developed black characters in a science-fiction film at the time. Loyola Marymount University Professor of African American Studies, Adilifu Nama, has stated that this character is "a form of tokenism that placed one of the most optimistic faces on racial inclusion in a genre that had historically excluded Black representation."

When the first film of the newest installment of the franchise, The Force Awakens, was released in 2015, the conversation shifted. Where in the past two trilogies the main three characters were two white men and a white woman, in the new trilogy the main trio consists of a black man (John Boyega), a Hispanic man (Oscar Isaac), and a white woman (Daisy Ridley).

Directed by Ryan Coogler, the film Black Panther portrays the heroes of the fictional African kingdom of Wakanda as godlike. They possess otherworldly sophistication by virtue of their blackness, in contrast to longstanding tendencies in mainstream film toward tokenism, stereotyping, and victimhood in depictions of people of African descent. The superhero the Black Panther, a.k.a. King T’Challa, learns to stand in solidarity with the oppressed, even those in whose oppression he has been unwittingly complicit, such as the children of the African diaspora. As a result, the film can function as catalyst for reflection on the part of viewers in terms of how they might perceive more clearly the complexity, variety, and ambiguity represented by blackness, whether others’ or their own, and how they, too, might identify with the Other.

In G.B.F., directed by Darren Stein, the film tells the journey of two closeted gay teens, Tanner and Brent, on their quest to popularity in high school. The film explores the theme of tokenism through demonstrating the desire of a homosexual male best friend by typically heterosexual women. The three most popular girls in school: Fawcett Brooks, Caprice Winters, and 'Shley Osgood believe that the key to winning the prom queen title is through acquiring a gay best friend. In media, gay best friends are displayed as sassy, effeminate, fashionable, and flamboyant, making them act as a stock character accessory to the main character. While Tanner and Brent plan to become popular through exposing their sexuality, the girls are disappointed to find out that Tanner contradicts the stereotypical gay men they have seen in television. The film shows how harmful it can be to associate gay stereotypes with gay characters.

Film critic Armond White cited the Sight and Sound Greatest Films of All Time poll in 2022 as an example of tokenism. He wrote that the poll had become "a referendum on political correctness" which "prefers feminist, black, queer politics—not cinephilia.

Skepticism

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