Hoax news-inspector: a real-time prediction of fake news using content resemblance over web search results for authenticating the credibility of news articles
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Computer Science
Link
https://link.springer.com/content/pdf/10.1007/s12652-020-02698-1.pdf
Reference49 articles.
1. Afroz S, Brennan M, Greenstadt R (2012) Detecting hoaxes, frauds, and deception in writing style online. In: Proceedings of the 2012 IEEE symposium on security and privacy, pp 461–475
2. Ajao O, Bhowmik D, Zargari S (2018). Fake news identification on twitter with hybrid cnn and rnn models. In: Proceedings of the 9th international conference on social media and society, pp 226–230
3. Aker A, Derczynski L, Bontcheva K (2017) Simple open stance classification for rumour analysis. arXiv Preprint. arXiv:1708.05286
4. Bodnar T, Tucker C, Hopkinson K, Bilén S G (2014) Increasing the veracity of event detection on social media networks through user trust modeling. In: Proceedings of the 2014 IEEE international conference on big data (Big Data), pp 636–643
5. Bondielli A, Marcelloni F (2019) A survey on fake news and rumour detection techniques. Inf Sci 497:38–55. https://doi.org/10.1016/j.ins.2019.05.035
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