A survey on rumor detection and prevention in social media using deep learning
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software
Link
https://link.springer.com/content/pdf/10.1007/s10115-023-01902-w.pdf
Reference118 articles.
1. Ahmad T, Faisal MS, Rizwan A, et al (2022) Efficient fake news detection mechanism using enhanced deep learning model. Appl Sci 12(3). https://www.mdpi.com/2076-3417/12/3/1743
2. Ahmed H, Traoré I, Saad S (2017) Detection of online fake news using n-gram analysis and machine learning techniques. In: Intelligent, secure, and dependable systems in distributed and cloud environments - first international conference, ISDDC 2017, Vancouver, BC, Canada, October 26–28, 2017, Proceedings, Lecture Notes in Computer Science, vol 10618. Springer, pp 127–138, https://doi.org/10.1007/978-3-319-69155-8_9
3. Al-Sarem M, Boulila W, Al-Harby M et al (2019) Deep learning-based rumor detection on microblogging platforms: a systematic review. IEEE Access 7:152,788-152,812. https://doi.org/10.1109/ACCESS.2019.2947855
4. Al-Sarem M, Alsaeedi A, Saeed F, et al (2021) A novel hybrid deep learning model for detecting covid-19-related rumors on social media based on lstm and concatenated parallel cnns. Appl Sci 11(17). https://doi.org/10.3390/app11177940, https://www.mdpi.com/2076-3417/11/17/7940
5. Alsaeedi A, Al-Sarem M (2020) Detecting rumors on social media based on a cnn deep learning technique. Arab J Sci Eng 45(12):10,813-10,844
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