Towards generalisable hate speech detection: a review on obstacles and solutions (PeerJ Computer Science)
One form of damaging internet content is hate speech, which targets or incites hatred toward a particular group or its…
Two Weeks in P/CVE: Free Resources on Countering Extremism and Hate, February 2024 (II/II)
Browse and read from a list of the 198 most popular LinkedIn resources dealing with soft counter-extremism and countering hate…
Balancing Standards and De Novo Approaches in Algorithms
Many ways to tackle hate speech and mis-/disinformation exist when it comes to Large Language Models (LLMs). Some LLMs outperform,…
Online Extremism is a Growing Problem, But What’s Being Done About It? (U.S. Government Accountability Office)
The GAO examined the relationship between hate crimes and online hate speech in a recent report, as well as the…
Indicators for characterising online hate speech and its automatic detection (arXiv)
Comparing the manual classification performed by machine learning algorithms with the expert pedagogists’ classification of 3,600 tweets in the context…
Free Resources on Countering Extremism and Hate, February 2024 (I/II)
Browse and read from a list of the 180 most popular LinkedIn resources dealing with counter-extremism and countering hate speech,…
Free Resources on Countering Extremism and Hate Speech, January 2024 (II/II)
Browse and read from a list of the 130 most popular LinkedIn resources that deal with counter-extremism and countering hate…
SemEval-2019 Task 5: Multilingual Detection of Hate Speech Against Immigrants and Women in Twitter (ACL Anthology)
The paper describes the organization of the SemEval 2019 Task 5 about the detection of hate speech against immigrants and…
Free Resources on Countering Extremism and Hate Speech, January 2024 (I/II)
Browse and read from a list of the 150 most popular LinkedIn resources that deal with counter-extremism and countering hate…
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…
Detecting Online Hate Speech Using Context Aware Models (ACL Anthology)
In this paper, we provide an annotated corpus of hate speech with context information well kept. Then we propose two…
An Experiment in Keyword-based Approach for Hate Speech Detection in Online Social Media Comments (SSRN)
As hate speech against a person or a group of people in social media platforms … take center stage in…