Detecting science-based health disinformation: a stylometric machine learning approach
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Transportation
Link
https://link.springer.com/content/pdf/10.1007/s42001-023-00213-y.pdf
Reference56 articles.
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2. Carson, T. L. (2010). Lying and deception: Theory and practice. OUP Oxford.
3. Caled, D., & Silva, M. J. (2022). Digital media and misinformation: An outlook on multidisciplinary strategies against manipulation. Journal of Computational Social Science, 5(1), 123–159.
4. Zhou, X., & Zafarani, R. (2020). A survey of fake news: Fundamental theories, detection methods, and opportunities. ACM Computing Surveys (CSUR), 53(5), 1–40.
5. Li, H.O.-Y., Bailey, A., Huynh, D., & Chan, J. (2020). YouTube as a source of information on COVID-19: A pandemic of misinformation? BMJ global health, 5(5), e002604.
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