Two Weeks in Soft Security: Free Resources on Countering Extremism, Hate, and Disinformation, April 2025 (II/II)
Browse and read from a list of the 217 most popular LinkedIn resources, including 2 audios and 21 videos, dealing…
SAHSD: Enhancing Hate Speech Detection in LLM-Powered Web Applications via Sentiment Analysis and Few-Shot Learning (ACM Digital Library)
Due to skewed training data and a lack of annotated samples, hate speech moderation has become a major concern as…
Hate Speech Detection and Online Public Opinion Regulation Using Support Vector Machine Algorithm: Application and Impact on Social Media (MDPI)
The rarity, sarcasm, and spelling variations of hate speech make it difficult to identify on social media. This work uses…
Few-shot Hate Speech Detection Based on the MindSpore Framework (arXiv)
Online communities are seriously threatened by the spread of hate speech on social media, necessitating efficient detection tools. Although deep…
Personalisation or Prejudice? Addressing Geographic Bias in Hate Speech Detection using Debias Tuning in Large Language Models (arXiv)
Recently, memory elements have been added to commercial large language models (LLMs) to provide customized replies. LLMs can modify their…
Privacy-Preserving Federated Learning for Hate Speech Detection (ACL Anthology)
A federated learning system with differential privacy for detecting hate speech that is adapted for low-resource languages is shown in…
Two Weeks in Soft Security: Free Resources on Countering Extremism, Hate, and Disinformation, April 2025 (I/II)
Browse and read from a list of the 325 most popular LinkedIn resources, including 8 audios and 9 videos, dealing…
Assessing the Hatefulness of Social Media Posts: A Continuous Measure of Hate Using Generative AI (SSRN)
A major issue with social media is online hatred, which has a detrimental impact on people, social media in general,…
A Survey of Machine Learning Models and Datasets for the Multi-label Classification of Textual Hate Speech in English (arXiv)
Researchers developed datasets and machine learning algorithms that tackle the multi-label challenge of classifying hate speech in textual data. The…
A comprehensive framework for multi-modal hate speech detection in social media using deep learning (scientific reports)
The increased use of text, graphics, audio, and video in hate speech makes identification more difficult. In order to assess…
Hate Speech in Pixels: Detection of Offensive Memes towards Automatic Moderation (Meta)
Unlike any other study to our knowledge, this one aims to automatically detect hate speech by utilizing visual information. It…
Hate-Speech and Reporting Systems in Online Multiplayer Games (Online Hate Prevention Institute)
A common problem in online multiplayer gaming is hate speech. Therefore, it is crucial that these games include strong reporting…