误传
可靠性
启发式
感知
认知心理学
计算机科学
视觉感受
心理学
政治学
计算机安全
操作系统
神经科学
法学
作者
Yilang Peng,Yingdan Lu,Cuihua Shen
标识
DOI:10.1080/10584609.2023.2175398
摘要
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.
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