Pars-HAO: Hate Speech and OffensiveLanguage Detection on Persian Social MediaUsing Ensemble Learning (TechRxiv)
This articleintroduces a 3-class dataset named Pars-HAO, consisting of 8013 tweets, to fill the gap in existing research. We collected…
Preventhate.org | Policyinstitute.net
Averting and Countering Online Hatred
This articleintroduces a 3-class dataset named Pars-HAO, consisting of 8013 tweets, to fill the gap in existing research. We collected…
In light of social media contributing to violence in volatile regions, the Allard K. Lowenstein International Human Rights Clinic at…
This article proposes a novel framework, MetaHate, that employs AI and BC to detect and combat hate speech in online gaming…
In this paper, we propose a targeted and efficient approach to identifying hate speech by detecting slurs at the lexical…
Browse and read from a list of the 175 most popular LinkedIn posts about counter-extremism and countering hate speech by…
While the unimodal-text context-aware (transformer) model was the most accurate on the subtask of implicit hate detection, the multimodal model…
[T]his article demonstrates how tweets may be classified as hostile or normal based on the information they include. When the…
This paper aims to explain our group SSN_NLP_MLRG submission to HASOC 2021: Hate speech and offensive language detection in English…
On Wednesday, Activision announced that it will be introducing real-time AI-powered voice chat moderation in the upcoming November 10 release…
Through meticulous pre-processing and rigorous evaluation, the study explores various algorithms to determine their suitability for hate speech detection. The…
A fully machine-translated English dataset has been analyzed with the models such as the Long Short term memory model (LSTM),…
In our experiment, we used the publicly available Bangla text dataset (44,001 comments) and got the highest performance ever published…