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

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 Verfügbarkeit
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 + Suchen Sie Ihr Suchwort? Soziale Medien; Migrantin; Ethnische Minderheit; Künstliche Intelligenz; Ausland; Research method; Forschungsmethode; Rassismus; Italien
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