Browser Extension for Detection of Fake News and Disinformation
Author:
Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-30694-5_16
Reference18 articles.
1. Paschalides, D., et al.: Check-it: a plugin for detecting and reducing the spread of fake news and misinformation on the web. In: 2019 IEEE/WIC/ACM International Conference on Web Intelligence (WI), pp. 298–302 (2019)
2. Alonso-Bartolome, S., Segura-Bedmar, I.; Multimodal fake news detection. arXiv:2112.04831 [cs] (2021). Accessed 16 Feb 2022
3. Watson, A.: Fake news in the U.S. - statistics & facts, Statista (2022). https://www.statista.com/topics/3251/fake-news/. Accessed 02 Mar 2022
4. Choudhary, M., Jha, S., Prashant, Saxena, D., Singh, A.K.: A review of fake news detection methods using machine learning. In: 2021 2nd International Conference for Emerging Technology (INCET), pp. 1–5. (2021). https://doi.org/10.1109/INCET51464.2021.9456299
5. Khanam, Z., Alwasel, B.N., Sirafi, H., Rashid, M.; Fake news detection using machine learning approaches. In: IOP Conference Series: Materials Science and Engineering, vol. 1099, no. 1, p. 012040 (2021). https://doi.org/10.1088/1757-899X/1099/1/012040
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1. Informed Citizens, Resilient Society;Advances in Library and Information Science;2024-02-23
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