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Odio-BERT: Evaluating domain task impact in hate speech detection.

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Title: Odio-BERT: Evaluating domain task impact in hate speech detection.
Authors: Yigezu, Mesay Gemeda1 (AUTHOR), Kolesnikova, Olga1 (AUTHOR) mgemedak2022@cic.ipn.mx, Gelbukh, Alexander1 (AUTHOR), Sidorov, Grigori1 (AUTHOR)
Source: Journal of Intelligent & Fuzzy Systems. Feb2026, Vol. 50 Issue 2, p336-347. 12p.
Subjects: Spanish language, Domain specificity, Language models, Invective, Social media, Natural language processing, Machine learning
Abstract: The rise of social media and micro-blogging platforms has led to concerns about hate speech, its potential to incite violence, psychological trauma, extremist beliefs, and self-harm. We have proposed a novel model, Odio-BERT for detecting hate speech using a pretrained BERT language model. This specialized model is specifically designed for detecting hate speech in the Spanish language, and when compared to existing models, it consistently outperforms them. The study provides valuable insights into addressing hate speech in the Spanish language and explores the impact of domain tasks. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Intelligent & Fuzzy Systems is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: Odio-BERT: Evaluating domain task impact in hate speech detection.
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  Data: <searchLink fieldCode="AR" term="%22Yigezu%2C+Mesay+Gemeda%22">Yigezu, Mesay Gemeda</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Kolesnikova%2C+Olga%22">Kolesnikova, Olga</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> mgemedak2022@cic.ipn.mx</i><br /><searchLink fieldCode="AR" term="%22Gelbukh%2C+Alexander%22">Gelbukh, Alexander</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Sidorov%2C+Grigori%22">Sidorov, Grigori</searchLink><relatesTo>1</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Intelligent+%26+Fuzzy+Systems%22">Journal of Intelligent & Fuzzy Systems</searchLink>. Feb2026, Vol. 50 Issue 2, p336-347. 12p.
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  Data: <searchLink fieldCode="DE" term="%22Spanish+language%22">Spanish language</searchLink><br /><searchLink fieldCode="DE" term="%22Domain+specificity%22">Domain specificity</searchLink><br /><searchLink fieldCode="DE" term="%22Language+models%22">Language models</searchLink><br /><searchLink fieldCode="DE" term="%22Invective%22">Invective</searchLink><br /><searchLink fieldCode="DE" term="%22Social+media%22">Social media</searchLink><br /><searchLink fieldCode="DE" term="%22Natural+language+processing%22">Natural language processing</searchLink><br /><searchLink fieldCode="DE" term="%22Machine+learning%22">Machine learning</searchLink>
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  Label: Abstract
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  Data: The rise of social media and micro-blogging platforms has led to concerns about hate speech, its potential to incite violence, psychological trauma, extremist beliefs, and self-harm. We have proposed a novel model, Odio-BERT for detecting hate speech using a pretrained BERT language model. This specialized model is specifically designed for detecting hate speech in the Spanish language, and when compared to existing models, it consistently outperforms them. The study provides valuable insights into addressing hate speech in the Spanish language and explores the impact of domain tasks. [ABSTRACT FROM AUTHOR]
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  Data: <i>Copyright of Journal of Intelligent & Fuzzy Systems is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=192308523
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        Text: English
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      – SubjectFull: Spanish language
        Type: general
      – SubjectFull: Domain specificity
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      – SubjectFull: Language models
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      – SubjectFull: Invective
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              M: 02
              Text: Feb2026
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              Y: 2026
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