Grégoire Burel
ABSTRACT
In the context of the Covid-19 pandemic and the Russian invasion of Ukraine, tracking how misinformation and fact-checks spread on social media is key for understanding where fact-checking efforts need to be focused and what demographics are most likely to spread misinformation. In this article, we introduce the Fact-checking Observatory, a website that automatically generates human-readable weekly reports about the spread of misinformation and fact-checks on Twitter. The proposed approach differs from other tools that give one-off manual reports or visualisation by providing organisations and individuals with easily readable and shareable self-contained reports that contain both information about the spread of misinformation and fact-checks.
- Grégoire Burel, Tracie Farrell, and Harith Alani. 2021. Demographics and topics impact on the co-spread of COVID-19 misinformation and fact-checks on Twitter. Information Processing & Management 58, 6 (November 2021). https://oro.open.ac.uk/78748/Google Scholar
Digital Library
- Grégoire Burel, Tracie Farrell, Martino Mensio, Prashant Khare, and Harith Alani. 2020. Co-spread of Misinformation and Fact-Checking Content During the Covid-19 Pandemic. In Social Informatics, Samin Aref, Kalina Bontcheva, Marco Braghieri, Frank Dignum, Fosca Giannotti, Francesco Grisolia, and Dino Pedreschi (Eds.). Springer International Publishing, Cham, 28--42.Google Scholar
- Antonin Delpeuch. 2019. Opentapioca: Lightweight entity linking for wikidata. arXiv preprint arXiv:1904.09131 (2019).Google Scholar
- Martino Mensio, Grégoire Burel, Tracie Farrell, and Harith Alani. 2023. MisinfoMe: A Tool for Longitudinal Assessment of Twitter Account's Sharing of Misinformation. In Proceedings of the 2023 ACM Conference on User Modeling, Adaptation and Personalization (Singapore, Singapore) (UMAP '23). Association for Computing Machinery, Limassol, Cyprus.Google ScholarDigital Library
- Soroush Vosoughi, Deb Roy, and Sinan Aral. 2018. The spread of true and false news online. Science 359, 6380 (2018), 1146--1151.Google Scholar
- Zijian Wang, Scott Hale, David Ifeoluwa Adelani, Przemyslaw Grabowicz, Timo Hartman, Fabian Flöck, and David Jurgens. 2019. Demographic Inference and Representative Population Estimates from Multilingual Social Media Data. In The World Wide Web Conference (San Francisco, CA, USA) (WWW '19). Association for Computing Machinery, New York, NY, USA, 2056--2067. https://doi.org/10.1145/3308558.3313684Google ScholarDigital Library
Index Terms
- The Fact-Checking Observatory: Reporting the Co-Spread of Misinformation and Fact-checks on Social Media
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