Estimating the Tendency of Social Media Users to Spread Fake News

Author:

Hashemi Ahmad,Shi Wei,Moosavi Mohammad Reza,Giachanou Anastasia

Publisher

Springer Nature Switzerland

Reference36 articles.

1. News use across social media platforms in 2020 (2022)

2. Agarwal, R., Gupta, S., Chatterjee, N.: Profiling fake news spreaders on twitter: a clickbait and linguistic feature based scheme. In: International Conference on Applications of Natural Language to Information Systems, pp. 345–357. Springer (2022)

3. Aragón, M.E., Jarquín-Vásquez, H.J., Montes-y Gómez, M., Escalante, H.J., Pineda, L.V., Gómez-Adorno, H., Posadas-Durán, J.P., Bel-Enguix, G.: Overview of mex-a3t at iberlef 2020: fake news and aggressiveness analysis in mexican spanish. In: IberLEF@ SEPLN, pp. 222–235 (2020)

4. Bai, S., Zhu, T., Cheng, L.: Big-five personality prediction based on user behaviors at social network sites (2012). arXiv-1204

5. Bird, S., Loper, E., Klein, E.: Natural Language Processing with Python. O’Reilly Media Inc (2009)

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