Automated Hate Speech Detection and the Problem of Offensive Language [PDF]
International Conference on Web and Social Media, 2017 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]
International Journal for Crime, Justice and Social Democracy, 2018 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
Detection of Hate Speech in COVID-19–Related Tweets in the Arab Region: Deep Learning and Topic Modeling Approach [PDF]
Journal of Medical Internet Research, 2020 BackgroundThe massive scale of social media platforms requires an automatic solution for detecting hate speech. These automatic solutions will help reduce the need for manual analysis of content.
Alshalan, Raghad +4 more
doaj +2 more sources
Predicting the victims of hate speech on microblogging platforms [PDF]
HeliyonHate 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
G-BERT: An Efficient Method for Identifying Hate Speech in Bengali Texts on Social Media
IEEE Access, 2023 The rapid increase in Internet users has increased online concerns such as hate speech, abusive texts, and harassment. In Bangladesh, hate text in Bengali is frequently used on various social media platforms to condemn and abuse individuals.
Ashfia Jannat Keya +5 more
doaj +2 more sources
A comparative study of the characteristics of hate speech propagators and their behaviours over Twitter social media platform [PDF]
Heliyon, 2023 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
Mapping the scientific knowledge and approaches to defining and measuring hate crime, hate speech, and hate incidents: A systematic review. [PDF]
Campbell Syst RevBackground 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
IEEE AccessThe 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
The Polarizing Impact of Political Disinformation and Hate Speech: A Cross-country Configural Narrative. [PDF]
Inf Syst Front, 2023 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
The perpetration of on- and offline hate speech among secondary school students [PDF]
Frontiers in Human DynamicsThis study analyses the relationships between witnessing and perpetrating hate speech, both on- and offline. It is based on data extracted from a purpose-designed questionnaire answered by a total of 571 secondary school students in Almería. We used SPSS
Juan Manuel Bellido Cáceres +3 more
doaj +2 more sources