论文标题
停止[图像]窃取：2020年美国大选错误信息中的视觉内容的角色和动态
Stop the [Image] Steal: The Role and Dynamics of Visual Content in the 2020 U.S. Election Misinformation Campaign
论文作者
论文摘要
图像很强大。视觉信息可以吸引注意力，改善说服力，触发更强烈的情绪，并且易于分享和传播。我们研究了在Twitter上共享的流行图像的特征，这是“ Stop The Shet”的一部分，这是2020年美国大选期间广泛的错误信息。我们分析了在Twitter上共享的40张最受欢迎的图像的传播，这是该广告系列的一部分。使用编码过程，我们根据图像的类型，内容，来源和角色对图像进行分类和标记，并对这些图像在Twitter上的分析进行混合方法分析。我们的结果表明，流行的图像包括照片和文字作为图像。这些受欢迎的图像中只有很少包括所谓的欺诈摄影证据。而且没有受到流行的照片被操纵。大多数图像从首次出现后几个小时内就达到了其总价值的很大一部分，并且流行和受欢迎的帐户都参与了其传播的各个阶段。
Images are powerful. Visual information can attract attention, improve persuasion, trigger stronger emotions, and is easy to share and spread. We examine the characteristics of the popular images shared on Twitter as part of "Stop the Steal", the widespread misinformation campaign during the 2020 U.S. election. We analyze the spread of the forty most popular images shared on Twitter as part of this campaign. Using a coding process, we categorize and label the images according to their type, content, origin, and role, and perform a mixed-method analysis of these images' spread on Twitter. Our results show that popular images include both photographs and text rendered as image. Only very few of these popular images included alleged photographic evidence of fraud; and none of the popular photographs had been manipulated. Most images reached a significant portion of their total spread within several hours from their first appearance, and both popular- and less-popular accounts were involved in various stages of their spread.
