FADE: Detecting Fake News Articles on the Web

Bahruz Jabiyev, Sinan Pehlivanoglu, Kaan Onarlioglu, E. Kirda
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引用次数: 4

Abstract

Internet-based media and social networks enable quick access to information; however, that has also made it easy to conduct disinformation campaigns. Fake news poses a serious threat to the functioning and safety of our society, as demonstrated by nation-state-sponsored campaigns to sway the 2016 US presidential election, and more recently COVID-19 pandemic hoaxes that promote false cures, putting lives at risk. FADE is a novel approach and service that helps Internet users detect fake news. FADE discovers multiple news sources covering the same story, analyzes their reputation, and checks the trustworthiness of cited sources. Our approach does not depend on any specific social media or news source, does not rely on costly textual content analysis, and does not require lengthy offline processing. Our experiments demonstrate above 85% detection accuracy with a practical implementation. FADE offers a path to empowering the Internet community with effective tools to identify fake news.
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FADE:检测网络上的假新闻文章
基于互联网的媒体和社交网络使人们能够快速获取信息;然而,这也使得进行虚假信息宣传变得容易。假新闻对我们社会的运作和安全构成严重威胁,正如国家资助的影响2016年美国总统大选的运动所证明的那样,以及最近宣传虚假治疗的COVID-19大流行骗局,将生命置于危险之中。FADE是一种帮助互联网用户识别假新闻的新方法和服务。FADE发现覆盖同一故事的多个新闻来源,分析其声誉,并检查引用来源的可信度。我们的方法不依赖于任何特定的社交媒体或新闻来源,不依赖于昂贵的文本内容分析,也不需要冗长的离线处理。实验结果表明,该方法的检测准确率在85%以上。FADE提供了一条途径,让互联网社区能够使用有效的工具来识别假新闻。
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