An efficient model for detecting COVID fake news using optimal lightweight convolutional random forest
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s11760-023-02938-9.pdf
Reference29 articles.
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3. Schuetz, S.W., Sykes, T.A., Venkatesh, V.: Combating COVID-19 fake news on social media through fact checking: antecedents and consequences. Eur. J. Inf. Syst. 30(4), 376–388 (2021)
4. Zeng, J., Zhang, Y., Ma, X.: Fake news detection for epidemic emergencies via deep correlations between text and images. Sustain. Cities Soc. 66, 102652 (2021)
5. Monterrubio, S.M.M., Noain-Sánchez, A., Pérez, E., Crespo, R.G.: Coronavirus fake news detection via MedOSINT check in health care official bulletins with CBR explanation: the way to find the real information source through OSINT, the verifier tool for official journals. Inf. Sci. 574, 210–237 (2021)
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