Online Hate Speech against Women: Automatic Identification of Misogyny and Sexism on Twitter-Reference-Cited by-同舟云学术

Online Hate Speech against Women: Automatic Identification of Misogyny and Sexism on Twitter

Published:2019-05-14 Issue:5 Volume:36 Page:4743-4752
ISSN:1064-1246
Container-title:Journal of Intelligent & Fuzzy Systems
language:
Short-container-title:IFS

Author:

Frenda Simona¹²,Ghanem Bilal²,Montes-y-Gómez Manuel³,Rosso Paolo²

Affiliation:

1. Dipartimento di Informatica, Università degli Studi di Torino, Italy

2. PRHLT Center, Universitat Politècnica de València, Spain

3. Instituto Nacional de Astrofísica, Óptica y Electrónica (INAOE), Mexico

Publisher

IOS Press

Subject

Artificial Intelligence,General Engineering,Statistics and Probability

Reference21 articles.

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2. Burnap P. and Williams M.L. , Hate speech, machine classification and statistical modelling of information flows on Twitter: Interpretation and communication for policy decision making, Internet, Policy and Politics, Oxford, UK, 2014.

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4. Dimensions of abusive language on twitter;Clarke;Proceedings of the First Workshop on Abusive Language Online,2017

5. Chen Y. , Zhou Y. , Zhu S. and Xu H. , Detecting offensive language in social media to protect adolescent online safety, Privacy, Security, Risk and Trust (PASSAT), 2012 International Conference on and 2012 International Conference on Social Computing (SocialCom), Amsterdam, Netherlands, IEEE, 2012, pp. 71–80.

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