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 language | English (US) |
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Pages (from-to) | 225-237 |
Number of pages | 13 |
Journal | Political Communication |
Volume | 40 |
Issue number | 2 |
DOIs | |
State | Published - 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