| Title | Check-It: A plugin for Detecting and Reducing the Spread of Fake News and Misinformation on the Web |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Paschalides, Demetris, Christodoulou, Chrysovalantis, Andreou, Rafael, Pallis, George, Dikaiakos, Marios D., Kornilakis, Alexandros, Markatos, Evangelos |
| Conference Name | 2019 IEEE/WIC/ACM International Conference on Web Intelligence (WI) |
| Date Published | oct |
| Keywords | Analytical models, artificial intelligence, artificial intelligence techniques, Browsers, Check-It, composability, domain flag-lists, fake news detection, fake news identification, feature extraction, Internet, Linguistics, misinformation, News Content, online front-ends, online social networks, pubcrawl, Resiliency, social networking (online), Uniform resource locators, user privacy, Web browser plugin, web of trust |
| Abstract | Over the past few years, we have been witnessing the rise of misinformation on the Internet. People fall victims of fake news continuously, and contribute to their propagation knowingly or inadvertently. Many recent efforts seek to reduce the damage caused by fake news by identifying them automatically with artificial intelligence techniques, using signals from domain flag-lists, online social networks, etc. In this work, we present Check-It, a system that combines 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, while respecting user privacy. In this paper, we present the design, implementation and performance evaluation of Check-It. Experimental results show that it outperforms state-of-the-art methods on commonly-used datasets. |
| Citation Key | paschalides_check-it_2019 |
Check-It: A plugin for Detecting and Reducing the Spread of Fake News and Misinformation on the Web