Hate speech detection and racial bias mitigation in social media based on BERT model-Reference-Cited by-同舟云学术

Hate speech detection and racial bias mitigation in social media based on BERT model

Published:2020-08-27 Issue:8 Volume:15 Page:e0237861
ISSN:1932-6203
Container-title:PLOS ONE
language:en
Short-container-title:PLoS ONE

Author:

Mozafari Marzieh^ORCID,Farahbakhsh Reza,Crespi Noël

Publisher

Public Library of Science (PLoS)

Subject

Multidisciplinary

Reference49 articles.

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3. Nobata C, Tetreault JR, Thomas AO, Mehdad Y, Chang Y. Abusive Language Detection in Online User Content. In: Proceedings of the 25th International Conference on World Wide Web. WWW’16. Republic and Canton of Geneva, Switzerland: International World Wide Web Conferences Steering Committee; 2016. p. 145–153.

4. Davidson T, Warmsley D, Macy MW, Weber I. Automated Hate Speech Detection and the Problem of Offensive Language. CoRR. 2017;abs/1703.04009. Available from: http://arxiv.org/abs/1703.04009.

5. Mozafari M, Farahbakhsh R, Crespi N. Content Similarity Analysis of Written Comments under Posts in Social Media. In: SNAMS 2019: 6th International Conference on Social Networks Analysis, Management and Security. Grenade, Spain; Oct 2019. p. 158–165. Available from: https://doi.org/10.1109/SNAMS.2019.8931726.

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