Identification and Analysis of the Spread of {Mis}information on Social Media
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-0669-3_33
Reference28 articles.
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2. Apuke, O.D., Omar, B.: Fake news and covid-19: modelling the predictors of fake news sharing among social media users. Telematics Inf. 56, 101475 (2021)
3. Bogale Gereme, F., Zhu, W.: Fighting fake news using deep learning: pre-trained word embeddings and the embedding layer investigated. In: Proceedings of the 2020 3rd International Conference on Computational Intelligence and Intelligent Systems, CIIS 2020, p. 24–29. Association for Computing Machinery, New York (2021)
4. Campbell, T., Broderick, T.: Automated scalable bayesian inference via hilbert coresets. arXiv (2019)
5. Chen, S., Xiao, L., Kumar, A.: Spread of misinformation on social media: what contributes to it and how to combat it. Comput. Human Behav. 141, 107643 (2023)
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