Towards a crowdsourced framework for online hate speech moderation - a case study in the Indian political scenario-Reference-Cited by-同舟云学术

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Towards a crowdsourced framework for online hate speech moderation - a case study in the Indian political scenario

Published:2024-05-21 Issue: Volume:106 Page:75-84
ISSN:
Container-title:Companion Proceedings of the 16th ACM Web Science Conference
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Author:

Bhattacharya Avigyan¹^ORCID,Chakrabarti Tapabrata²^ORCID,Basu Subhadip¹^ORCID,Knott Alistair³^ORCID,Pedreschi Dino⁴^ORCID,Chatila Raja⁵^ORCID,Leavy Susan⁶^ORCID,Eyers David⁷^ORCID,Teal Paul D.³^ORCID,Biecek Przemyslaw⁸^ORCID

Affiliation:

1. Jadavpur University, India

2. Alan Turing Institute and University College London, United Kingdom

3. Victoria University of Wellington, New Zealand

4. University of Pisa; IIT - CNR, Italy

5. Sorbonne University, France

6. University College Dublin, Ireland

7. University of Otago, New Zealand

8. Warsaw University of Technology, Poland

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3630744.3663607

Reference31 articles.

1. Machine learning techniques for hate speech classification of twitter data: State-of-the-art, future challenges and research directions

2. Deep Learning for Hate Speech Detection in Tweets

3. A Dataset of Hindi-English Code-Mixed Social Media Text for Hate Speech Detection

4. Rank Analysis of Incomplete Block Designs: I. The Method of Paired Comparisons

5. Bharathi Raja Chakravarthi Anand Kumar M John P McCrae B Premjith KP Soman and Thomas Mandl. 2020. Overview of the track on HASOC-Offensive Language Identification-DravidianCodeMix.. In FIRE (Working notes). 112–120.

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