@inproceedings{9cff19bca8c54570b470857b363ce249,
title = "Analyzing hate speech with incel-hunters' critiques",
abstract = "The ubiquity of online media services helps to promote free speech but also provides opportunities for the spread of problematic content such as hate speech. A group of individuals known as {"}incels{"} (involuntary celibates) sometimes use online media services to publish hateful content. To expose and condemn incel hate speech, other individuals, sometimes called {"}incel hunters{"} create online communities where they critique screenshots of content posted by incels. In this paper, using 18,187 posts collected from a subreddit named r/IncelTears, we explore the potential for transforming screenshots of incel hate speech and oppositional statements into training data that could be used as the basis for automated or semi-automated content moderation tools.",
keywords = "Incel, Reddit, automated moderation, content moderation, hate speech, online communities, semi-automated moderation",
author = "Yisi Sang and Jeffrey Stanton",
note = "Publisher Copyright: {\textcopyright} 2020 ACM.; 11th International Conference on Social Media and Society: Diverse Voices - Promises and Perils of Social Media for Diversity, SMSociety 2020 ; Conference date: 22-07-2020 Through 24-07-2020",
year = "2020",
month = jul,
day = "22",
doi = "10.1145/3400806.3400808",
language = "English (US)",
series = "ACM International Conference Proceeding Series",
publisher = "Association for Computing Machinery",
pages = "5--13",
editor = "Anatoliy Gruzd and Philip Mai and Raquel Recuero and Angel Hernandez-Garcia and {Sian Lee}, Chei and James Cook and Jaigris Hodson and Bree McEwan and Jill Hopke",
booktitle = "11th International Conference on Social Media and Society",
}