An Agenda for Studying Credibility Perceptions of Visual Misinformation

IF 4.6 1区 社会学 Q1 COMMUNICATION
Yilang Peng, Yingdan Lu, Cuihua Shen
{"title":"An Agenda for Studying Credibility Perceptions of Visual Misinformation","authors":"Yilang Peng, Yingdan Lu, Cuihua Shen","doi":"10.1080/10584609.2023.2175398","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":20264,"journal":{"name":"Political Communication","volume":"40 1","pages":"225 - 237"},"PeriodicalIF":4.6000,"publicationDate":"2023-02-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Political Communication","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.1080/10584609.2023.2175398","RegionNum":1,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMMUNICATION","Score":null,"Total":0}
引用次数: 7

Abstract

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.
视觉错误信息可信度认知研究议程
摘要今天的政治错误信息越来越多地以视觉形式产生和消费,如照片、表情包和视频。尽管视觉媒体无处不在,学术界也越来越关注错误信息,但对视觉错误信息的研究相对匮乏。目前尚不清楚哪些特定的视觉格式(如模因、可视化)和特征(如颜色、人脸)单独或与非视觉特征和启发式相结合,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、启发法和注意力决定因素)。我们提出了一份可信度感知的相关视觉属性列表,并提出了一项研究议程,该议程整合了包括计算视觉分析、众包注释和实验在内的方法,以提高我们对视觉错误信息的理解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
13.90
自引率
2.70%
发文量
30
期刊介绍: Political Communication is a quarterly international journal showcasing state-of-the-art, theory-driven empirical research at the nexus of politics and communication. Its broad scope addresses swiftly evolving dynamics and urgent policy considerations globally. The journal embraces diverse research methodologies and analytical perspectives aimed at advancing comprehension of political communication practices, processes, content, effects, and policy implications. Regular symposium issues delve deeply into key thematic areas.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信