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Hate Speech Research: Algorithmic and Qualitative Evaluations. A Case Study of Anti-Gypsy Hate on Twitter

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Title: Hate Speech Research: Algorithmic and Qualitative Evaluations. A Case Study of Anti-Gypsy Hate on Twitter
Language: English
Authors: Pasta, Stefano (ORCID 0000-0002-7756-5427)
Source: Research on Education and Media. Jun 2023 15(1):130-139.
Availability: Sciendo, a company of De Gruyter Poland. 32 Zuga Street, 01-811 Warsaw, Poland. Tel: +48-22-701-5015; e-mail: info@sciendo.com; Web site: https://www.sciendo.com
Peer Reviewed: Y
Page Count: 10
Publication Date: 2023
Document Type: Journal Articles
Reports - Research
Descriptors: Social Bias, Antisocial Behavior, Social Media, Migrants, Minority Groups, Artificial Intelligence, Automation, Foreign Countries, Research Methodology, Racism
Geographic Terms: Italy
DOI: 10.2478/rem-2023-0017
ISSN: 2037-0830
2037-0849
Abstract: Hate speech may be the research focus of the interdisciplinary field of hate studies, but it is also a difficult phenomenon to define. Internationally, there are several detection studies on automatically detecting hate speech. They can be grouped according to two approaches: the first includes searching using only machine learning methods, while the second includes studies that combine automatic searching with human classification. The case study on anti-Gypsy hate in Italian on Twitter in the second half of 2020 falls into the second category, and its methods are outlined here. Based on the results (annotation as 'hate'/'non-hate', identification of forms of rhetoric and anti-Gypsyism), the researchers propose classifying online content according to seven indicators called the 'spectrum of online hate'.
Abstractor: As Provided
Entry Date: 2023
Accession Number: EJ1364776
Database: ERIC
FullText Text:
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  Data: Hate Speech Research: Algorithmic and Qualitative Evaluations. A Case Study of Anti-Gypsy Hate on Twitter
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  Data: <searchLink fieldCode="AR" term="%22Pasta%2C+Stefano%22">Pasta, Stefano</searchLink> (ORCID <externalLink term="https://orcid.org/0000-0002-7756-5427">0000-0002-7756-5427</externalLink>)
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  Data: <searchLink fieldCode="SO" term="%22Research+on+Education+and+Media%22"><i>Research on Education and Media</i></searchLink>. Jun 2023 15(1):130-139.
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  Data: Sciendo, a company of De Gruyter Poland. 32 Zuga Street, 01-811 Warsaw, Poland. Tel: +48-22-701-5015; e-mail: info@sciendo.com; Web site: https://www.sciendo.com
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  Data: Journal Articles<br />Reports - Research
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  Data: <searchLink fieldCode="DE" term="%22Social+Bias%22">Social Bias</searchLink><br /><searchLink fieldCode="DE" term="%22Antisocial+Behavior%22">Antisocial Behavior</searchLink><br /><searchLink fieldCode="DE" term="%22Social+Media%22">Social Media</searchLink><br /><searchLink fieldCode="DE" term="%22Migrants%22">Migrants</searchLink><br /><searchLink fieldCode="DE" term="%22Minority+Groups%22">Minority Groups</searchLink><br /><searchLink fieldCode="DE" term="%22Artificial+Intelligence%22">Artificial Intelligence</searchLink><br /><searchLink fieldCode="DE" term="%22Automation%22">Automation</searchLink><br /><searchLink fieldCode="DE" term="%22Foreign+Countries%22">Foreign Countries</searchLink><br /><searchLink fieldCode="DE" term="%22Research+Methodology%22">Research Methodology</searchLink><br /><searchLink fieldCode="DE" term="%22Racism%22">Racism</searchLink>
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  Data: 10.2478/rem-2023-0017
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  Data: 2037-0830<br />2037-0849
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  Data: Hate speech may be the research focus of the interdisciplinary field of hate studies, but it is also a difficult phenomenon to define. Internationally, there are several detection studies on automatically detecting hate speech. They can be grouped according to two approaches: the first includes searching using only machine learning methods, while the second includes studies that combine automatic searching with human classification. The case study on anti-Gypsy hate in Italian on Twitter in the second half of 2020 falls into the second category, and its methods are outlined here. Based on the results (annotation as 'hate'/'non-hate', identification of forms of rhetoric and anti-Gypsyism), the researchers propose classifying online content according to seven indicators called the 'spectrum of online hate'.
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  Data: 2023
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  Data: EJ1364776
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      – SubjectFull: Antisocial Behavior
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      – SubjectFull: Social Media
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      – SubjectFull: Migrants
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      – SubjectFull: Minority Groups
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      – SubjectFull: Artificial Intelligence
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      – SubjectFull: Automation
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      – SubjectFull: Foreign Countries
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      – SubjectFull: Research Methodology
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      – SubjectFull: Racism
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      – SubjectFull: Italy
        Type: general
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      – TitleFull: Hate Speech Research: Algorithmic and Qualitative Evaluations. A Case Study of Anti-Gypsy Hate on Twitter
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