Hatebusters: A Web Application for Actively Reporting YouTube Hate Speech

Antonios Anagnostou, Ioannis Mollas, Grigorios Tsoumakas

IJCAI 2018 pp. 5796-5798

doi:10.24963/IJCAI.2018/841 /ijcai/2018/anagnostou2018ijcai-hatebusters/

Abstract

Hatebusters is a web application for actively reporting YouTube hate speech, aiming to establish an online community of volunteer citizens. Hatebusters searches YouTube for videos with potentially hateful comments, scores their comments with a classifier trained on human-annotated data and presents users those comments with the highest probability of being hate speech. It also employs gamification elements, such as achievements and leaderboards, to drive user engagement.

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Cite

Text

Anagnostou et al. "Hatebusters: A Web Application for Actively Reporting YouTube Hate Speech." International Joint Conference on Artificial Intelligence, 2018. doi:10.24963/IJCAI.2018/841

Markdown

[Anagnostou et al. "Hatebusters: A Web Application for Actively Reporting YouTube Hate Speech." International Joint Conference on Artificial Intelligence, 2018.](https://mlanthology.org/ijcai/2018/anagnostou2018ijcai-hatebusters/) doi:10.24963/IJCAI.2018/841

BibTeX

@inproceedings{anagnostou2018ijcai-hatebusters,
  title     = {{Hatebusters: A Web Application for Actively Reporting YouTube Hate Speech}},
  author    = {Anagnostou, Antonios and Mollas, Ioannis and Tsoumakas, Grigorios},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2018},
  pages     = {5796-5798},
  doi       = {10.24963/IJCAI.2018/841},
  url       = {https://mlanthology.org/ijcai/2018/anagnostou2018ijcai-hatebusters/}
}