A Telegram Corpus for Hate Speech, Offensive Language, and Online Harm

Autor: Veronika Solopova, Tatjana Scheffler, Mihaela Popa-Wyatt
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: Journal of Open Humanities Data, Vol 7 (2021)
Druh dokumentu: article
ISSN: 2059-481X
DOI: 10.5334/johd.32
Popis: We provide a new text corpus from the social medium Telegram, which is rich in indirect forms of divisive speech. We scraped all messages from one channel of Donald Trump supporters, covering a large part of his presidency, from late 2016 until January 2021, including the January 6 Capitol riot. The discussion among the group members, over this long time period, includes the spread of disinformation, disparaging of out-group members, and other forms of harmful speech. To enable research into the role of harmful speech in political discourse, we added two types of annotations to the corpus: (i) automatic annotations of offensive language for all messages, and (ii) our own manual annotations of harmful language for a portion of the posts leading up to the January 2021 Capitol riot and its aftermath.
Databáze: Directory of Open Access Journals