An Agenda for Studying Credibility Perceptions of Visual Misinformation

An Agenda for Studying Credibility Perceptions of Visual Misinformation
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研究视觉错误信息可信度的议程

DOI:
10.1080/10584609.2023.2175398
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发表时间:
2023
影响因子:
7.5
通讯作者:
Shen, Cuihua
Shen, Cuihua
中科院分区:
法学1区
文献类型:
--
作者:
Peng, Yilang;Lu, Yingdan;Shen, Cuihua

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今天的政治错误信息越来越多地以视觉形式创造和消费,如照片,模因和视频。尽管视觉媒体无处不在,学术界对错误信息的关注也越来越多,但对视觉错误信息的研究相对缺乏。目前还不清楚哪些特定的视觉格式(例如,模因、可视化)和特征(例如,颜色、人脸)本身或与非视觉特征和启发式方法相结合,以及通过什么机制,对视觉错误信息的影响做出了贡献。针对这些差距,我们确定了一个理论框架,解释了视觉特征在借贷可信度中的说服机制和途径(例如,作为论据、解释学和注意力决定因素)。我们提出了一个列表的相关视觉属性的可信度的看法和研究议程,集成的方法,包括计算视觉分析,众包的注释和实验,以促进我们的理解视觉错误信息。
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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