论文标题
了解在社交媒体上使用福克斯图
Understanding the Use of Fauxtography on Social Media
论文作者
论文摘要
尽管基于图像的沟通对在线话语产生了影响，但图像在虚假信息中所扮演的角色仍然不太了解。在本文中，我们介绍了第一个大规模研究的Fauxtography研究，分析了有关在线社区的新闻讨论中的操纵或误导图像的使用。首先，我们开发了一条用于检测Fauxtography的计算管道，并确定在Twitter，4chan和Reddit上讨论的61K实例。然后，我们研究发布Fauxtography如何影响社交媒体上的帖子的参与度，发现包含它的帖子以重新分摊，喜欢和评论的形式获得了更多互动。最后，我们表明，网络社区经常将Fauxtography图像变成模因。我们的发现表明，有效缓解虚假信息需要考虑图像，并在处理基于图像的虚假信息时突出了许多挑战。
Despite the influence that image-based communication has on online discourse, the role played by images in disinformation is still not well understood. In this paper, we present the first large-scale study of fauxtography, analyzing the use of manipulated or misleading images in news discussion on online communities. First, we develop a computational pipeline geared to detect fauxtography, and identify over 61k instances of fauxtography discussed on Twitter, 4chan, and Reddit. Then, we study how posting fauxtography affects engagement of posts on social media, finding that posts containing it receive more interactions in the form of re-shares, likes, and comments. Finally, we show that fauxtography images are often turned into memes by Web communities. Our findings show that effective mitigation against disinformation need to take images into account, and highlight a number of challenges in dealing with image-based disinformation.
