BiL-FaND: leveraging ensemble technique for efficient bilingual fake news detection
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s13042-024-02128-0.pdf
Reference34 articles.
1. Zhou X, Zafarani R (2020) A survey of fake news: fundamental theories, detection methods, and opportunities. ACM Comput Surv. https://doi.org/10.1145/3395046
2. Zhang X, Ghorbani AA (2020) An overview of online fake news: characterization, detection, and discussion. Inform Process Manag 57(2):102025. https://doi.org/10.1016/j.ipm.2019.03.004
3. Bhutani B, Rastogi N, Sehgal P, Purwar A (2019) Fake news detection using sentiment analysis. In: 2019 Twelfth International Conference on Contemporary Computing (IC3), pp. 1–5. https://doi.org/10.1109/IC3.2019.8844880
4. Ahmed AAA, Aljabouh A, Donepudi PK, Choi MS (2021) Detecting fake news using machine learning: a systematic literature review. arXiv preprint arXiv:2102.04458
5. Aphiwongsophon S, Chongstitvatana P (2018) Detecting fake news with machine learning method. In: 2018 15th International Conference on Electrical Engineering/electronics, Computer, Telecommunications and Information Technology (ECTI-CON), pp. 528–531. IEEE
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