Detection and moderation of detrimental content on social media platforms: current status and future directions
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Science Applications,Human-Computer Interaction,Media Technology,Communication,Information Systems
Link
https://link.springer.com/content/pdf/10.1007/s13278-022-00951-3.pdf
Reference135 articles.
1. Ahmed H, Traore I, Saad S (2017) Detection of online fake news using N-Gram analysis and machine learning techniques. In: Traore I, Woungang I, Awad A (eds) Intelligent, secure, and dependable systems in distributed and cloud environments. ISDDC. Lecture Notes in Computer Science, Vol. 10618, pp 127–138. https://doi.org/10.1007/978-3-319-69155-8_9.
2. Amrutha BR, Bindu KR (2019) Detecting hate speech in tweets using different deep neural network architectures. In: Proceedings of the international conference on intelligent computing and control systems (ICICCS 2019) IEEE, pp 923–926. https://doi.org/10.1109/ICCS45141.2019.9065763.
3. Andersen JS, Zukunft O, Maalej W (2021) REM: efficient semi-automated real-time moderation of online forums. In: Proceedings of the joint conference of the 59th annual meeting of the association for computational linguistics and the 11th international joint conference on natural language processing: system demonstrations. pp 142–149.
4. Ayo FE, Folorunso O, Ibharalu FT, Osinuga IA (2020) Machine learning techniques for hate speech classification of twitter data: State-of-the-art, future challenges and research directions. Comput Sci Rev Elsevier. https://doi.org/10.1016/j.cosrev.2020.100311
5. Badjatiya P, Gupta S, Gupta M, Varma V (2017) Deep learning for hate speech detection in tweets. In: 26th international conference on world wide web companion, Perth, Australia, pp 759–760. https://doi.org/10.1145/3041021.3054223.
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