CSI
Natali Ruchansky, Sungyong Seo, Yan Liu
University of Southern California
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摘要与影响
The topic of fake news has drawn attention both from the public and the academic communities. Such misinformation has the potential of affecting public opinion, providing an opportunity for malicious parties to manipulate the outcomes of public events such as elections. Because such high stakes are at play, automatically detecting fake news is an important, yet challenging problem that is not yet well understood. Nevertheless, there are three generally agreed upon characteristics of fake news: the text of an article, the user response it receives, and the source users promoting it. Existing work has largely focused on tailoring solutions to one particular characteristic which has limited their success and generality.
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关键指标
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学术脉络
学科主题
计算机 / AISpam and Phishing Detection
Misinformation and Its Impacts · Sentiment Analysis and Opinion Mining
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