Developing an online hate classifer for multiple social media platforms (Springer)
“To address this research gap, we collect a total of 197,566 comments from four platforms: YouTube, Reddit, Wikipedia, and Twitter,…
preventhate.org | Policyinstitute.net
Averting and Countering Online Hatred.
“To address this research gap, we collect a total of 197,566 comments from four platforms: YouTube, Reddit, Wikipedia, and Twitter,…
“In preparation for the project, the Council of Europe’s Youth Department commissioned three ‘mapping’ studies about the realities of hate…
“When dealing with cases concerning incitement to hatred and freedom of expression, the European Court of Human Rights uses two…
“This review focuses on papers on Hate Speech, particularly in legal and communication studies indexed in Web of Science. It…
“The research series Hate Speech and Radicalisation on the Internet provides interdisciplinary insights into the current developments of extremist activities…
“Content moderators often have to deal with lengthy texts without any word-level indicators. We propose a neural transformer approach for…
“A large number of methods have been developed for automated hate speech detection online. This aims to classify textual content…
“The report provides a comprehensive overview of the contributions made by almost four thousand contributors who participated in the public…
“The reviewed studies provided exploratory data about the Internet and social media as a space for online hate speech, types…
“With online hate speech on the rise, its automatic detection as a natural language processing task is gaining increasing interest.…
“Despite much attention being paid to characterize and detect discriminatory speech, most work has focused on explicit or overt hate…
“Many languages have made many efforts to find automated solutions for detecting abusive language and cyberbullying, but not much for…