Investigating Perceived Message Credibility and Detection Accuracy of Fake and Real Information Across Information Types and Modalities.

Yu Chia Tseng, Chien Wen Tina Yuan

研究成果: 書貢獻/報告類型會議論文篇章

摘要

(Mis-)information thrives on social media, so it has become increasingly important for users to tell real from misleading content because erroneously following misinformation can cause serious consequences. In this study, we investigated users' subjective perceived information credibility and objective detection accuracy of fake and real information across three topics, each of which was delivered via two modalities. We conducted an online within-subject experiment (n = 293) with a three (information topics: health, science, and life) by two (modalities: text and image) by two (veracity: real and fake) design. Overall, our participants were better at identifying fake information from real information. Results also found that information types significantly mediated information modality and veracity. For real information, the text mode helped people perceive credibility in health, life, and science topics. However, for false information, the image mode helped raised the perceived credibility of life information than the text mode.

原文英語
主出版物標題CHI 2023 - Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems
發行者Association for Computing Machinery
ISBN(電子)9781450394222
DOIs
出版狀態已發佈 - 2023 4月 19
對外發佈
事件2023 CHI Conference on Human Factors in Computing Systems, CHI 2023 - Hamburg, 德国
持續時間: 2023 4月 232023 4月 28

出版系列

名字Conference on Human Factors in Computing Systems - Proceedings

會議

會議2023 CHI Conference on Human Factors in Computing Systems, CHI 2023
國家/地區德国
城市Hamburg
期間2023/04/232023/04/28

ASJC Scopus subject areas

  • 人機介面
  • 電腦繪圖與電腦輔助設計
  • 軟體

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