An In-depth Analysis of Implicit and Subtle Hate Speech Messages (ACL Anthology)
In this paper, we first provide an in-depth and systematic analysis of 7 standard benchmarks for HS detection, relying on…
preventhate.org | Policyinstitute.net
Averting and Countering Online Hatred.
In this paper, we first provide an in-depth and systematic analysis of 7 standard benchmarks for HS detection, relying on…
In this paper, we provide an annotated corpus of hate speech with context information well kept. Then we propose two…
As hate speech against a person or a group of people in social media platforms … take center stage in…
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…