The Telegram Chronicles of Online Harm
نویسندگان
چکیده
Harmful language is frequent in social media, particular spaces which are considered anonymous and/or allow free participation. In this paper, we analyze the a Telegram channel populated by followers of former US President Donald Trump. We seek to identify ways harmful used create specific narrative group mostly like-minded discussants. Our research has several aims. First, an extended taxonomy potentially that includes not only hate speech and direct insults (which have been focus existing computational methods), but also other forms discussed literature. manually apply large portion corpus, including time period leading up aftermath January 2021 Capitol riot. data gives empirical evidence for speech, such as in/out-group divisive use codes within certain communities, often investigated before. Second, compare our manual annotations automatic methods classifying offensive language, namely list-based machine-learning-based approaches. find sets still pose challenges these methods. Finally, argue value studying naturally-occurring, coherent on online harm how address it linguistics philosophy.
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ژورنال
عنوان ژورنال: Journal of open humanities data
سال: 2021
ISSN: ['2059-481X']
DOI: https://doi.org/10.5334/johd.31