An Agenda for Studying Credibility Perceptions of Visual Misinformation

Yilang Peng, Yingdan Lu*, Cuihua Shen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

22 Scopus citations

Abstract

Today’s political misinformation has increasingly been created and consumed in visual formats, such as photographs, memes, and videos. Despite the ubiquity of visual media and the growing scholarly attention to misinformation, there is a relative dearth of research on visual misinformation. It remains unclear which specific visual formats (e.g., memes, visualizations) and features (e.g., color, human faces) contribute to visual misinformation's influence, either on their own or in combination with non-visual features and heuristics, and through what mechanisms. In response to these gaps, we identify a theoretical framework that explains the persuasive mechanisms and pathways of visual features in lending credibility (e.g., as arguments, heuristics, and attention determinants). We propose a list of relevant visual attributes to credibility perceptions and a research agenda that integrates methods including computational visual analysis, crowdsourced annotations, and experiments to advance our understanding of visual misinformation.

Original languageEnglish (US)
Pages (from-to)225-237
Number of pages13
JournalPolitical Communication
Volume40
Issue number2
DOIs
StatePublished - 2023

Funding

This work was supported by the National Science Foundation [CNS-2150716, CNS-2150723]; Stanford Program on Democracy and the Internet (PDI) Research Funding, Stanford University.

Keywords

  • credibility
  • image
  • misinformation
  • video
  • Visual misinformation

ASJC Scopus subject areas

  • Communication
  • Sociology and Political Science

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