Literaturnachweis - Detailanzeige
Autor/in | Pasta, Stefano |
---|---|
Titel | Hate Speech Research: Algorithmic and Qualitative Evaluations. A Case Study of Anti-Gypsy Hate on Twitter |
Quelle | In: Research on Education and Media, 15 (2023) 1, S.130-139 (10 Seiten)
PDF als Volltext |
Zusatzinformation | ORCID (Pasta, Stefano) |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 2037-0830 |
DOI | 10.2478/rem-2023-0017 |
Schlagwörter | Social Bias; Antisocial Behavior; Social Media; Migrants; Minority Groups; Artificial Intelligence; Automation; Foreign Countries; Research Methodology; Racism; Italy |
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'. (As Provided). |
Anmerkungen | 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 |
Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2024/1/01 |