Check-It: A Plugin for Detecting and Reducing the Spread of Fake News and Misinformation on the Web
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Abstract (arXiv)
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%.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). First posted on arXiv 10 May 2019.
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Citing papers per year: 2021: 2; 2022: 1; 2023: 1; 2024: 0; 2025: 2.
6 papers.
- 2023Adapting Fake News Detection to the Era of Large Language Modelscited by 14
- 2021The Rise and Fall of Fake News sites: A Traffic Analysiscited by 3
- 2022FNDaaS: Content-agnostic Detection of Fake News sitescited by 1
- 2025An exploration of features to improve the generalisability of fake news detection modelscited by 1
- 2025FakeZero: Real-Time, Privacy-Preserving Misinformation Detection for Facebook and Xcited by 1
- 2021A Systematic Review on the Detection of Fake News Articlescited by 0
- 2025FakeZero: Real-Time, Privacy-Preserving Misinformation Detection for Facebook and X29 Oct 2025
- 2025An exploration of features to improve the generalisability of fake news detection models27 Feb 2025
- 2023Adapting Fake News Detection to the Era of Large Language Models2 Nov 2023
- 2022FNDaaS: Content-agnostic Detection of Fake News sites13 Dec 2022
- 2021A Systematic Review on the Detection of Fake News Articles18 Oct 2021
- 2021The Rise and Fall of Fake News sites: A Traffic Analysis16 Mar 2021