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This survey reviews and evaluates methods that can detect fake news from four perspectives: the false\n                    <jats:italic>knowledge<\/jats:italic>\n                    it carries, its writing\n                    <jats:italic>style<\/jats:italic>\n                    , its\n                    <jats:italic>propagation<\/jats:italic>\n                    patterns, and the credibility of its\n                    <jats:italic>source<\/jats:italic>\n                    . 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.\n                  <\/jats:p>","DOI":"10.1145\/3395046","type":"journal-article","created":{"date-parts":[[2020,7,7]],"date-time":"2020-07-07T08:38:30Z","timestamp":1594111110000},"page":"1-40","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1128,"title":["A Survey of Fake News"],"prefix":"10.1145","volume":"53","author":[{"given":"Xinyi","family":"Zhou","sequence":"first","affiliation":[{"name":"Syracuse University, Syracuse, NY"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Reza","family":"Zafarani","sequence":"additional","affiliation":[{"name":"Syracuse University, Syracuse, NY"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2020,9,28]]},"reference":[{"key":"e_1_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10994-010-5171-1"},{"key":"e_1_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2012.34"},{"key":"e_1_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1257\/jep.31.2.211"},{"key":"e_1_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.14778\/2732967.2732975"},{"key":"e_1_2_1_5_1","volume-title":"Proceedings of the 5th International Conference on Learning Representations (ICLR\u201917)","author":"Arora Sanjeev","year":"2017"},{"key":"e_1_2_1_6_1","doi-asserted-by":"publisher","DOI":"10.5465\/amr.1989.4278999"},{"key":"e_1_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.14778\/3380750.3380762"},{"key":"e_1_2_1_8_1","volume-title":"The Semantic Web","author":"Auer S\u00f6ren"},{"key":"e_1_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1556\/oh.2009.ho2256"},{"key":"e_1_2_1_10_1","doi-asserted-by":"crossref","unstructured":"Ramy Baly Georgi Karadzhov Dimitar Alexandrov James Glass and Preslav Nakov. 2018. 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