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Communicating and combating algorithmic bias

Effects of data diversity, labeler diversity, performance bias, and user feedback on AI trust

Bibliographic Data

ID15215985
AuthorsCheng Chen (0000-0002-3583-9370, Elon University, corresponding author), Sundar (0000-0002-5779-8864, Bellisario College of Communications, Pennsylvania State University, University Park, PA, USA)
Year2024
Pages1-37
Publication date2024-10-03
Peer ReviewedYes
Open AccessNo
TypeARTICLE
VenueHuman-Computer Interaction (JOURNAL)
Journal identifiersISSN: 0737-0024 • E-ISSN: 1532-7051
PublisherTaylor & Francis (PUBLISHER • GB)
DOI10.1080/07370024.2024.2392494
OpenAlexW4403143618
LanguageEN
Citations received7
References cited76

Diversity (politics · Political science · Artificial Intelligence in Healthcare and Education · Computer Science · Ethics and Social Impacts of AI · Explainable Artificial Intelligence (XAI · Law · Psychology · Social Psychology

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Unique citing works7
Citations per year7
Citation span2025 - 2026 (2)
Citation velocitycurrent
Highly citedNo
Citation typesNeutral: 7

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