FADE: Detecting Fake News Articles on the Web
ARES '21: Proceedings of the 16th International Conference on Availability, Reliability and Security
Article No.: 15, Pages 1 - 10
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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Index Terms
- FADE: Detecting Fake News Articles on the Web
Index terms have been assigned to the content through auto-classification.
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August 2021
1447 pages
ISBN:9781450390514
DOI:10.1145/3465481
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Published: 17 August 2021
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ARES 2021
ARES 2021: The 16th International Conference on Availability, Reliability and Security
August 17 - 20, 2021
Vienna, Austria
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