Automated Hate Speech Detection and the Problem of Offensive Language [PDF]
A key challenge for automatic hate-speech detection on social media is the separation of hate speech from other instances of offensive language. Lexical detection methods tend to have low precision because they classify all messages containing particular
Davidson, Thomas +3 more
core +3 more sources
Taking North American White Supremacist Groups Seriously: The Scope and the Challenge of Hate Speech on the Internet [PDF]
This article aims to address two questions: how does hate speech manifest on North American white supremacist websites; and is there a connection between online hate speech and hate crime? Firstly, hate speech is defined and the research methodology upon
Raphael Cohen-Almagor
doaj +6 more sources
Predicting the victims of hate speech on microblogging platforms [PDF]
Hate speech constitutes a major problem on microblogging platforms, with automatic detection being a growing research area. Most existing works focus on analyzing the content of social media posts.
Sahrish Khan +6 more
doaj +2 more sources
A comparative study of the characteristics of hate speech propagators and their behaviours over Twitter social media platform [PDF]
The internet and social media have facilitated diverse communication genres, enabling widespread and rapid opinions-sharing. However, hate speech imposes a contemporary challenge on individuals and communities, given the user anonymity, freedom, and ...
Suresha Perera +4 more
doaj +2 more sources
Hate speech detection in the Arabic language: corpus design, construction, and evaluation. [PDF]
Hate Speech Detection in Arabic presents a multifaceted challenge due to the broad and diverse linguistic terrain. With its multiple dialects and rich cultural subtleties, Arabic requires particular measures to address hate speech online successfully. To
Ahmad A +6 more
europepmc +2 more sources
The Polarizing Impact of Political Disinformation and Hate Speech: A Cross-country Configural Narrative. [PDF]
Information and communication technologies hold immense potential to enhance our lives and societal well-being. However, digital spaces have also emerged as a fertile ground for fake news campaigns and hate speech, aggravating polarization and posing a ...
Vasist PN, Chatterjee D, Krishnan S.
europepmc +2 more sources
Mapping the scientific knowledge and approaches to defining and measuring hate crime, hate speech, and hate incidents: A systematic review. [PDF]
Background The difficulties in defining hate crime, hate incidents and hate speech, and in finding a common conceptual basis constitute a key barrier toward operationalisation in research, policy and programming. Definitions disagree about issues such as
Vergani M +8 more
europepmc +2 more sources
Fine-Grained Multilingual Hate Speech Detection Using Explainable AI and Transformers
The detection of hate speech on online platforms is essential for maintaining safe and inclusive digital environments. Although significant progress has been made in binary classification for hate speech detection, challenges persist in multilingual and ...
Jawaid Ahmed Siddiqui +4 more
doaj +2 more sources
Hate speech comprises any form of hateful or contemptuous expression that attacks, degrades, or vilifies people based on their social identities. This Element focuses on hate speech targeting social identities that are devalued by a society's dominant groups, and that is likely to evoke, promote, or legitimize harms such violence, discrimination, and ...
Shrabana Chattopadhyay +2 more
+13 more sources
ToxiGen: A Large-Scale Machine-Generated Dataset for Adversarial and Implicit Hate Speech Detection [PDF]
Toxic language detection systems often falsely flag text that contains minority group mentions as toxic, as those groups are often the targets of online hate.
Thomas Hartvigsen +5 more
semanticscholar +1 more source

