research-article

Detecting Misogyny and Xenophobia in Spanish Tweets Using Language Technologies

Authors:

Flor-Miriam Plaza-Del-Arco,

M. Dolores Molina-González,

L. Alfonso Ureña-López,

M. Teresa Martín-ValdiviaAuthors Info & Claims

ACM Transactions on Internet Technology (TOIT), Volume 20, Issue 2

Article No.: 12, Pages 1 - 19

https://doi.org/10.1145/3369869

Published: 14 March 2020 Publication History

Abstract

Today, misogyny and xenophobia are some of the most important social problems. With the increase in the use of social media, this feeling of hatred toward women and immigrants can be more easily expressed, and therefore it can have harmful effects on social media users. For this reason, it is important to develop systems capable of detecting hateful comments automatically. In this article, we analyze the hate speech in Spanish tweets against women and immigrants conducting classification experiments using different approaches. Moreover, we create appropriate language resources for hate speech detection in Spanish.

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Kostiuk YTonja ASidorov GKolesnikova O(2024)Reframing social media discourse: Converting hate speech to non-hate speechJournal of Intelligent & Fuzzy Systems10.3233/JIFS-219348(1-14)Online publication date: 28-Apr-2024
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Kaware PRaut A(2024)Automatic Detection of Multilingual Misogynistic Content in Social Media Data Based on Machine Learning Approach2024 International Conference on Integrated Circuits and Communication Systems (ICICACS)10.1109/ICICACS60521.2024.10499136(1-7)Online publication date: 23-Feb-2024
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Botella-Gil BSepúlveda-Torres RBonet-Jover AMartínez-Barco PSaquete E(2024)Semi-Automatic Dataset Annotation Applied to Automatic Violent Message DetectionIEEE Access10.1109/ACCESS.2024.336140412(19651-19664)Online publication date: 2024
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Index Terms

Detecting Misogyny and Xenophobia in Spanish Tweets Using Language Technologies
1. Computing methodologies
  1. Artificial intelligence
    1. Natural language processing
      1. Language resources
  2. Machine learning
2. Information systems
  1. Information retrieval
    1. Specialized information retrieval
      1. Environment-specific retrieval
        Web and social media search

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cover image ACM Transactions on Internet Technology

ACM Transactions on Internet Technology Volume 20, Issue 2

Special Section on Emotions in Conflictual Social Interactions and Regular Papers

May 2020

256 pages

ISSN:1533-5399

EISSN:1557-6051

DOI:10.1145/3386441

Editor:
Ling Liu
Georgia Institute of Technology, USA

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Publication History

Published: 14 March 2020

Accepted: 01 October 2019

Revised: 01 August 2019

Received: 01 March 2019

Published in TOIT Volume 20, Issue 2

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https://doi.org/10.3233/JIFS-219348
Kaware PRaut A(2024)Automatic Detection of Multilingual Misogynistic Content in Social Media Data Based on Machine Learning Approach2024 International Conference on Integrated Circuits and Communication Systems (ICICACS)10.1109/ICICACS60521.2024.10499136(1-7)Online publication date: 23-Feb-2024
https://doi.org/10.1109/ICICACS60521.2024.10499136
Botella-Gil BSepúlveda-Torres RBonet-Jover AMartínez-Barco PSaquete E(2024)Semi-Automatic Dataset Annotation Applied to Automatic Violent Message DetectionIEEE Access10.1109/ACCESS.2024.336140412(19651-19664)Online publication date: 2024
https://doi.org/10.1109/ACCESS.2024.3361404
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Abburi HParikh PChhaya NVarma V(2024)Multi-task learning neural framework for categorizing sexismComputer Speech & Language10.1016/j.csl.2023.10153583(101535)Online publication date: Jan-2024
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Anjum Katarya R(2024)Hate speech, toxicity detection in online social media: a recent survey of state of the art and opportunitiesInternational Journal of Information Security10.1007/s10207-023-00755-223:1(577-608)Online publication date: 1-Feb-2024
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Tomasev NMaynard JGabriel I(2024)Manifestations of xenophobia in AI systemsAI & SOCIETY10.1007/s00146-024-01893-4Online publication date: 21-Mar-2024
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