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Does distrust in humans predict greater trust in AI? Role of individual differences in user responses to content moderation
14 references·16 citing·46 second hop
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Testing the Effect of Machine Attribution on News Readers’ Evaluations of Bias, Anthropomorphism, and Credibility (2019)Can an Algorithm Reduce the P…Understanding perception of algorithmic decisions: Fairness, trust, and emotion in response to algorithmic management (2018)Understanding perception of a…Censored, suspended, shadowbanned: User interpretations of content moderation on social media platforms (2018)Censored, suspended, shadowba…'It's Reducing a Human Being to a Percentage' (2018)'It's Reducing a Human Being …How Does Interactivity Persuade? 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(2023)Decolonizing Content Moderati…Risk Society: Towards a New Modernity (1993)Risk Society, Towards a New Modernity (1994)The Role of Conspiracist Ideation and Worldviews in Predicting Rejection of Science (2013)Truth is What Happens to News (2018)The evidence for motivated reasoning in climate change preference formation (2019)Modernity and Self-Identity: Self and Society in the Late Modern Age (2020)Self-Perception Theory (1972)Script processing in attitude formation and decision making. 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(2001)Likert scales, levels of measurement and the “laws” of statistics (2010)The Principles and Limits of Algorithm-in-the-Loop Decision Making (2019)Towards a standard for identifying and managing bias in artificial intelligence (2022)Trustworthy Artificial Intelligence: A Review (2022)Mood and judgment: The affect infusion model (AIM). (1995)Automaticity of social behavior: Direct effects of trait construct and stereotype activation on action. (1996)Self-reports: How the questions shape the answers. (1999)A Meta-Analysis of Factors Affecting Trust in Human-Robot Interaction (2011)Credibility and trust of information in online environments: The use of cognitive heuristics (2013)Social media and loneliness: Why an Instagram picture may be worth more than a thousand Twitter words (2016)Deepfakes and Disinformation: Exploring the Impact of Synthetic Political Video on Deception, Uncertainty, and Trust in News (2020)
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References

  • 2004Trust in Automation: Designing for Appropriate Reliance6,548 cited
  • 1980Heuristic versus systematic information processing and the use of source versus message cues in persuasion.5,511 cited
  • 2014Handbook of Social Cognition4,154 cited
  • 2014Trust in Automation2,799 cited
  • 2018Understanding perception of algorithmic decisions: Fairness, trust, and emotion in response to algorithmic management1,334 cited
  • 2012Politicization of Science in the Public Sphere1,090 cited
  • 2007Digital Media, Youth, and Credibility1,033 cited
  • 2019Rise of Machine Agency: A Framework for Studying the Psychology of Human–AI Interaction (HAII)865 cited
  • 2018'It's Reducing a Human Being to a Percentage'690 cited
  • 2018Censored, suspended, shadowbanned: User interpretations of content moderation on social media platforms480 cited
  • 2009Measuring Trust In Advertising251 cited
  • 2015How Does Interactivity Persuade? An Experimental Test of Interactivity on Cognitive Absorption, Elaboration, and Attitudes234 cited
  • 2022When AI moderates online content: effects of human collaboration and interactive transparency on user trust166 cited
  • 2019Can an Algorithm Reduce the Perceived Bias of News? Testing the Effect of Machine Attribution on News Readers’ Evaluations of Bias, Anthropomorphism, and Credibility

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135 cited

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  • 2023Decolonizing Content Moderation: Does Uniform Global Community Standard Resemble Utopian Equality or Western Power Hegemony?62 cited
  • 2024More Capable, Less Benevolent: Trust Perceptions of AI Systems across Societal Contexts50 cited
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  • 2024I Cannot Miss It for the World: The Relationship Between Fear of Missing out (FOMO) and Acceptance of ChatGPT25 cited
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  • 2024Behind the black box: The moderating role of the machine heuristic on the effect of transparency information about automated journalism on hostile media bias perception17 cited
  • 2026Building Trust in Artificial Intelligence: A Systematic Review through the Lens of Trust Theory17 cited
  • 2024Communicating and combating algorithmic bias: effects of data diversity, labeler diversity, performance bias, and user feedback on AI trust16 cited
  • 2025Perceptions of AI-driven news among contemporary audiences: a study of trust, engagement, and impact15 cited
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