可靠性
假新闻
计算机科学
新闻
数据科学
社会化媒体
互联网隐私
公共关系
社会学
政治学
万维网
媒体研究
法学
作者
Xinyi Zhou,Reza Zafarani
出处
期刊:Cornell University - arXiv
日期:2020-09-28
卷期号:53 (5): 1-40
被引量:243
摘要
The explosive growth in fake news and its erosion to democracy, justice, and public trust has increased the demand for fake news detection and intervention. This survey reviews and evaluates methods that can detect fake news from four perspectives: the false knowledge it carries, its writing style, its propagation patterns, and the credibility of its source. The survey also highlights some potential research tasks based on the review. In particular, we identify and detail related fundamental theories across various disciplines to encourage interdisciplinary research on fake news. It is our hope that this survey can facilitate collaborative efforts among experts in computer and information sciences, social sciences, political science, and journalism to research fake news, where such efforts can lead to fake news detection that is not only efficient but, more importantly, explainable.
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