Check-It: A Plugin for Detecting and Reducing the Spread of Fake News and Misinformation on the Web
May 10, 2019 Β· Declared Dead Β· π International Conference on Wirtschaftsinformatik
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Authors
Demetris Paschalides, Alexandros Kornilakis, Chrysovalantis Christodoulou, Rafael Andreou, George Pallis, Marios D. Dikaiakos, Evangelos Markatos
arXiv ID
1905.04260
Category
cs.SI: Social & Info Networks
Cross-listed
cs.CL,
cs.CY
Citations
32
Venue
International Conference on Wirtschaftsinformatik
Last Checked
6 months ago
Abstract
Over the past few years, we have been witnessing the rise of misinformation on the Web. People fall victims of fake news during their daily lives and assist their further propagation knowingly and inadvertently. There have been many initiatives that are trying to mitigate the damage caused by fake news, focusing on signals from either domain flag-lists, online social networks or artificial intelligence. In this work, we present Check-It, a system that combines, in an intelligent way, a variety of signals into a pipeline for fake news identification. Check-It is developed as a web browser plugin with the objective of efficient and timely fake news detection, respecting the user's privacy. Experimental results show that Check-It is able to outperform the state-of-the-art methods. On a dataset, consisting of 9 millions of articles labeled as fake and real, Check-It obtains classification accuracies that exceed 99%.
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