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A Signal Detection Approach to Understanding Susceptibility to Misinformation

A Signal Detection Approach to Understanding Susceptibility to Misinformation
一种了解错误信息敏感性的信号检测方法
批准号:
2040684
负责人:
Bertram Gawronski
金额:
$42.39万
依托单位国家:
美国
项目类别:
Continuing Grant
财政年份:
2021
资助国家:
美国
项目状态:
未结题
起止时间:
2021-06-01 至 2025-05-31

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中文摘要
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英文摘要
One of the greatest challenges for the functioning of societies in the information age is the prevalence and impact of misinformation. Concerns over the impact of misinformation have grown considerably as the internet and social media provide a conduit for spreading information widely and rapidly, regardless of its veracity. The current project aims to investigate how people determine whether new information they encounter is correct or incorrect, and how people decide whether to share this information on social media. Using a formal modeling approach called Signal Detection Theory, the research focuses on three aspects of such judgments: (a) the ability to distinguish between correct and incorrect information, (b) general tendencies to treat information as correct vs. incorrect regardless of veracity, and (c) partisan bias involving a tendency to accept information that is consistent with one's personal beliefs and dismiss information that is inconsistent with one's personal beliefs. The findings are expected to provide valuable insights into why people might be susceptible to misinformation and how it might be possible to reduce the spread of misinformation.Toward this end, the current project investigates how cognitive and motivational factors jointly influence responses to correct and incorrect information. Across a series of 16 studies, the project addresses the following questions: How well can people distinguish between correct and incorrect information? When are decisions to share information on social media influenced by people's perceptions of accuracy? Does more elaborate thinking increase people's ability to distinguish between correct and incorrect information? How does elaborate thinking influence partisan bias in responses to belief-congruent and belief-incongruent information? How does greater confidence about one's personal values influence accuracy and partisan bias? How do echo chambers and prior exposure to information influence people's susceptibility to misinformation? How effective is debunking in reducing susceptibility to misinformation? How does the source of information influence responses to correct and incorrect information? How can partisan bias in responses to correct and incorrect information be reduced? Project activities also involve training students on using signal detection methods to investigate how people judge information. The project helps to address societal problems that stem from misinformation by investigating the psychological processes that make people susceptible to misinformation.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.
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DOI: 10.1177/1745691620986135
发表时间: 2021-07-15
期刊: PERSPECTIVES ON PSYCHOLOGICAL SCIENCE
影响因子: 12.6
作者: [Batailler, Cedric, Brannon, Skylar M., Gawronski, Bertram]
通讯作者: Gawronski, Bertram
Perceptions of Ingroup and Outgroup Morality
  • 批准号:
    2310159
  • 项目类别:
    Continuing Grant
  • 资助金额:
    $63.82万
  • 财政年份:
    2023
  • 负责人:
    Bertram Gawronski
  • 依托单位:
Associative and Propositional Processes in Evaluative Conditioning: A Multinomial Modeling Approach
  • 批准号:
    1649900
  • 项目类别:
    Standard Grant
  • 资助金额:
    $30.25万
  • 财政年份:
    2017
  • 负责人:
    Bertram Gawronski
  • 依托单位:
A Multinomial Process Model of Moral Judgment
  • 批准号:
    1449620
  • 项目类别:
    Standard Grant
  • 资助金额:
    $33.56万
  • 财政年份:
    2015
  • 负责人:
    Bertram Gawronski
  • 依托单位:
国内基金
海外基金
Graphon mean field games with partial observation and application to failure detection in distributed systems
  • 批准号:
  • 项目类别:
    省市级项目
  • 资助金额:
    --
  • 批准年份:
    2025
  • 负责人:
    MATHIEULOUROCHLAURIERE
  • 依托单位: