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相关概念视频

Stereotypes, Prejudice, and Discrimination02:55

Stereotypes, Prejudice, and Discrimination

90.2K
Humans are very diverse and although we share many similarities, we also have many differences. The social groups we belong to help form our identities (Tajfel, 1974). These differences may be difficult for some people to reconcile, which may lead to prejudice toward people who are different. Prejudice is a negative attitude and feeling toward an individual based solely on one’s membership in a particular social group (Allport, 1954; Brown, 2010). Prejudice is common against people who...
90.2K
Stereotype Content Model02:16

Stereotype Content Model

14.7K
The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
14.7K
Bias01:22

Bias

4.2K
Bias refers to any tendency that prevents a question from being considered unprejudiced. In research, bias occurs when one outcome or answer is selected or encouraged over others in sampling or testing. Bias can occur during any research phase, including study design, data collection, analysis, and publication.
In statistics, a sampling bias is created when a sample is collected from a population, and some members of the population are not as likely to be chosen as others (remember, each member...
4.2K
Confirmation Biases01:31

Confirmation Biases

5.5K
The confirmation bias is the tendency to focus on information that confirms our existing beliefs and ignore information that is inconsistent with our expectations. For example, if you think that your professor is not very nice, you notice all of the instances of rude behavior exhibited by the professor while ignoring the countless pleasant interactions he is involved in on a daily basis. Have you ever fallen prey to the confirmation bias, either as the source or target of such bias?
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Stereotype Threat and Self-fulfilling Prophecies02:09

Stereotype Threat and Self-fulfilling Prophecies

37.6K
When we hold a stereotype about a person, we have expectations that he or she will fulfill that stereotype. A self-fulfilling prophecy is an expectation held by a person that alters his or her behavior in a way that tends to make it true. When we hold stereotypes about a person, we tend to treat the person according to our expectations. This treatment can influence the person to act according to our stereotypic expectations, thus confirming our stereotypic beliefs. Research by Rosenthal and...
37.6K
Attitudes01:54

Attitudes

28.4K
Attitude is our evaluation of a person, an idea, or an object. We have attitudes for many things ranging from products that we might pick up in the supermarket to people around the world to political policies. Typically, attitudes are favorable or unfavorable: positive or negative (Eagly & Chaiken, 1993). And, they have three components: an affective component (feelings), a behavioral component (the effect of the attitude on behavior), and a cognitive component (belief and knowledge;...
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相关实验视频

Updated: Jul 9, 2025

Post-Movie Subliminal Measurement PMSM, for Investigating Implicit Social Bias
09:03

Post-Movie Subliminal Measurement PMSM, for Investigating Implicit Social Bias

Published on: February 29, 2020

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自动情绪分析的潜在陷:酷儿恐惧偏见的例子

Eddie L Ungless1, Björn Ross1, Vaishak Belle1

  • 1The University of Edinburgh, Scotland, UK.

Social science computer review
|November 29, 2023
PubMed
概括

自动化情绪分析工具对边缘化群体,特别是酷儿身份有偏见. 即使是流行的模型也表现出偏见,强调需要仔细选择工具,以确保自然语言处理中的公正结果.

科学领域:

  • 自然语言处理 (NLP) 是一种自然语言处理.
  • 人工智能 (AI) 是一种人工智能.
  • 社会语言学 社会语言学

背景情况:

  • 自动化情绪分析被广泛用于各种领域的趋势检测.
  • 自然语言处理 (NLP) 技术,包括情绪分析,可以无意中延续社会偏见.
  • 现有的研究已经确定了关于性别,种族和残疾的情感分析中的偏见.

研究的目的:

  • 调查流行情绪分析工具中的偏见,特别是关于酷尔身份的偏见.
  • 在情感分析中,通过检查更广泛的边缘化群体来扩大现有研究.
  • 为选择情绪分析工具提供指导,以减轻偏见.

主要方法:

  • 评估六种流行的情绪分析工具.
  • 测试与各种酷儿身份相关的句子的工具.
  • 对工具响应进行比较分析,以确定有偏见的输出.

主要成果:

  • 在经过测试的工具中发现了对几个边缘化酷儿身份的偏见的证据.
  • 两个著名的模型 (谷歌,亚马逊) 显示了偏见,尽管表面上显然是微不足道的努力.
  • 在评估的情绪分析工具中,偏见的程度和性质各不相同.
关键词:
人工智能有偏见的偏见自然语言处理自然语言处理.酷儿恐惧症 (queerphobia) 是一种对酷儿恐惧症的恐惧.情绪分析是一种情绪分析.

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Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
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Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

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Assessment of Mouse Judgment Bias through an Olfactory Digging Task
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Assessment of Mouse Judgment Bias through an Olfactory Digging Task

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相关实验视频

Last Updated: Jul 9, 2025

Post-Movie Subliminal Measurement PMSM, for Investigating Implicit Social Bias
09:03

Post-Movie Subliminal Measurement PMSM, for Investigating Implicit Social Bias

Published on: February 29, 2020

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Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications
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Cloud-Based Phrase Mining and Analysis of User-Defined Phrase-Category Association in Biomedical Publications

Published on: February 23, 2019

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Assessment of Mouse Judgment Bias through an Olfactory Digging Task
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Assessment of Mouse Judgment Bias through an Olfactory Digging Task

Published on: March 4, 2022

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结论:

  • 情绪分析工具并不总是公正的,并且可能使边缘化社区处于不利地位.
  • 表面的脱皮方法可能不足以消除人工智能模型中的偏差.
  • 选择情绪分析工具需要仔细考虑潜在的偏见,以确保可靠和公平的结果.