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

Yu Chia Tseng, Chien Wen Tina Yuan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

(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.

Original languageEnglish
Title of host publicationCHI 2023 - Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450394222
DOIs
Publication statusPublished - 2023 Apr 19
Externally publishedYes
Event2023 CHI Conference on Human Factors in Computing Systems, CHI 2023 - Hamburg, Germany
Duration: 2023 Apr 232023 Apr 28

Publication series

NameConference on Human Factors in Computing Systems - Proceedings

Conference

Conference2023 CHI Conference on Human Factors in Computing Systems, CHI 2023
Country/TerritoryGermany
CityHamburg
Period2023/04/232023/04/28

Keywords

  • Information modality
  • detection accuracy
  • information topics
  • information veracity
  • perceived message credibility

ASJC Scopus subject areas

  • Human-Computer Interaction
  • Computer Graphics and Computer-Aided Design
  • Software

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