Hate speech, toxicity detection in online social media: a recent survey of state of the art and opportunities-Reference-Cited by-同舟云学术

Hate speech, toxicity detection in online social media: a recent survey of state of the art and opportunities

Published:2023-09-25 Issue:1 Volume:23 Page:577-608
ISSN:1615-5262
Container-title:International Journal of Information Security
language:en
Short-container-title:Int. J. Inf. Secur.

Author:

Anjum ,Katarya Rahul^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Computer Networks and Communications,Safety, Risk, Reliability and Quality,Information Systems,Software

Link

https://link.springer.com/content/pdf/10.1007/s10207-023-00755-2.pdf

Reference134 articles.

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3. Diwhu, G., Ghdwk, W.K.H., Ihpdoh, R.I.D., Vwxghqw, X.: Automated detection of hate speech towards woman on Twitter. In: International Conference On Computer Science And Engineering. pp 7–10 (2018)

4. Fortuna, P., Nunes, S.: A survey on automatic detection of hate speech in text. ACM Comput Surv (2018). https://doi.org/10.1145/3232676

5. bbc Facebook launches initiative to fight online hate speech. In: bbc. ps://www.bbc.com/news/technology-40371869

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