Thai Fake News Detection Based on Information Retrieval, Natural Language Processing and Machine Learning
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Springer Science and Business Media LLC
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https://link.springer.com/content/pdf/10.1007/s42979-021-00775-6.pdf
Reference58 articles.
1. Rodríguez ÁI and Iglesias LL. Fake news detection using deep learning. ArXiv. 2019. arXiv:1910.03496.
2. Allcott H, Gentzkow M. Social media and fake news in the 2016 election. J Econ Perspect. 2017;31(2):211–36. https://doi.org/10.1257/jep.31.2.211.
3. Jiang T, Li JP, Haq AU, Saboor A, Ali A. A novel stacking approach for accurate detection of fake news. IEEE Access. 2021;9:22626–39. https://doi.org/10.1109/ACCESS.2021.3056079.
4. Rahman MS, Halder S, Uddin MA, Acharjee UK. An efficient hybrid system for anomaly detection in social networks. Cybersecurity. 2021. https://doi.org/10.1186/s42400-021-00074-w.
5. Lakshmanan LVS, Simpson M, Thirumuruganathan S. Combating fake news: a data management and mining perspective. Proc VLDB Endow. 2019;12(12):1990–3. https://doi.org/10.14778/3352063.3352117.
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