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Stereotypes, Prejudice, and Discrimination02:55

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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...
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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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Often, psychologists develop surveys as a means of gathering data. Surveys are lists of questions to be answered by research participants, and can be delivered as paper-and-pencil questionnaires, administered electronically, or conducted verbally. Generally, the survey itself can be completed in a short time, and the ease of administering a survey makes it easy to collect data from a large number of people.
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The halo effect is a cognitive bias in which an individual's overall impression influences judgments about their specific traits. This psychological phenomenon leads people to associate positive characteristics with those they perceive as generally good and negative characteristics with those they view as bad. This effect is particularly influential in social perception, professional evaluations, and decision-making processes.The Psychological Basis of the Halo EffectThe halo effect is rooted...
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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.
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Related Experiment Video

Updated: Jan 11, 2026

Using the Race Model Inequality to Quantify Behavioral Multisensory Integration Effects
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Testing for racial bias using inconsistent perceptions of race.

Nora Gera1, Emma Pierson2

  • 1Department of Computer Science, Cornell University, Ithaca, NY, USA.

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|November 19, 2025
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Summary
This summary is machine-generated.

This study introduces a new method to test for racial bias by observing how individuals are treated when their race is perceived differently. Researchers found police are more likely to search or arrest drivers when perceived as Hispanic versus white.

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Area of Science:

  • Social Psychology
  • Criminology
  • Data Science

Background:

  • Racial bias in treatment is often assessed by comparing different individuals, which is challenging due to confounding factors.
  • Existing methods struggle to isolate race as the sole variable influencing treatment disparities.

Purpose of the Study:

  • To develop and apply a novel test for detecting racial bias that overcomes the limitations of comparing different individuals.
  • To assess racial bias in police traffic stops using a method that focuses on the same individual perceived as different races.

Main Methods:

  • Proposed a new bias test assessing differential treatment of the same individual when their race is perceived differently.
  • Applied the method to police traffic stop data, analyzing outcomes based on perceived race of drivers.
  • Focused on scenarios where identity data is perceived rather than self-reported and individuals are observed multiple times.

Main Results:

  • Drivers perceived as Hispanic were more likely to be searched or arrested by police compared to when perceived as white.
  • The proposed method successfully identified differential treatment linked to perceived race in traffic stops.

Conclusions:

  • The novel bias test is effective in identifying racial disparities in real-world scenarios like police traffic stops.
  • This methodology is broadly applicable to datasets with perceived identity data, offering a robust tool for bias detection across various contexts.