容易受到错误信息的影响?: Verifi !

Alireza Karduni, Isaac Cho, Ryan Wesslen, Sashank Santhanam, Svitlana Volkova, Dustin L. Arendt, Samira Shaikh, Wenwen Dou
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引用次数: 25

摘要

我们提出了验证2,一个视觉分析系统,以支持对社交媒体上的错误信息的调查。各种模型和研究已经从多个学科中涌现出来,以检测或理解错误信息的影响。然而,仍然缺乏直观和可访问的工具来帮助社交媒体用户区分错误信息和经过验证的新闻。Verifi2使用最先进的计算方法来突出语言、网络和图像特征,以区分可疑的新闻账户。通过在Verifi2中在源和文档级别上探索新闻,用户可以与表征错误信息的复杂维度进行交互,并对比真实和可疑新闻渠道在这些维度上的差异。为了评估Verifi2,我们采访了研究错误信息的数字媒体、通信、教育和心理学专家。我们的采访强调了打击错误信息问题的复杂性,并显示了Verifi2作为错误信息教育工具的巨大潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Vulnerable to misinformation?: Verifi!
We present Verifi2, a visual analytic system to support the investigation of misinformation on social media. Various models and studies have emerged from multiple disciplines to detect or understand the effects of misinformation. However, there is still a lack of intuitive and accessible tools that help social media users distinguish misinformation from verified news. Verifi2 uses state-of-the-art computational methods to highlight linguistic, network, and image features that can distinguish suspicious news accounts. By exploring news on a source and document level in Verifi2, users can interact with the complex dimensions that characterize misinformation and contrast how real and suspicious news outlets differ on these dimensions. To evaluate Verifi2, we conduct interviews with experts in digital media, communications, education, and psychology who study misinformation. Our interviews highlight the complexity of the problem of combating misinformation and show promising potential for Verifi2 as an educational tool on misinformation.
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