An Investigation of Large Language Models for Real-World Hate Speech Detection (Papers with Code)
In this study, we conduct a large-scale study of hate speech detection, employing five established hate speech datasets. We discover…
preventhate.org | Policyinstitute.net
Averting and Countering Online Hatred.
In this study, we conduct a large-scale study of hate speech detection, employing five established hate speech datasets. We discover…
Our findings reveal that deep learning techniques outperform shallow learning methods, with BiLSTM emerging as the most accurate model for…
Browse and read from a list of the 160 most popular LinkedIn resources that deal with counter-extremism and countering hate…
nlike hate speech, fear speech has almost zero toxic content, making it look plausible. Moreover, while fear speech topics mostly…
The paper describes the organization of the SemEval 2019 Task 5 about the detection of hate speech against immigrants and…
In this study, we conduct a comparative analysis of the performance of various machine learning and natural language processing models…
Upon a rigorous definition of hate speech, we present a new way of labeling hate speech data using LLM with…
Browse and read from a list of the 165 most popular LinkedIn resources that deal with counter-extremism and countering hate…
e carried out an analysis from data gathered within the framework of the European Observatory of Online Hate (EOOH) spanning…
In the article, we describe recent trends in the detection of hate speech and offensive language on social media. We…
To delve into how individuals from different countries perceive hate speech, we introduce CReHate, a cross-cultural re-annotation of the sampled…
This study introduces the task of predicting the incivility of conversations following replies to hate speech. We first propose a…