United Nations Global PrinciplesFor Information Integrity (United Nations)
Given the growing threats to the integrity of the information ecosystem and the appearance of widely accessible advances in AI…
What you need to know about hate speech (UNESCO)
Under the context of the United Nations Strategy and Plan of Action against Hate Speech, which was introduced by the…
Silencing the hate: How UNDP is empowering youth to counter online hate speech (UNDP)
The UNDP honors the global efforts of youngsters on the third International Day of Countering Hate Speech. A little over…
A Conceptual Analysis of the Overlaps and Differences between Hate Speech, Misinformation and Disinformation (United Nations Peacekeeping)
This research offers a thorough conceptual analysis to differentiate between hate speech, misinformation, and disinformation. It was commissioned by the…
COT: A Generative Approach for Hate Speech Counter-Narratives via Contrastive Optimal Transport (arXiv)
This study presents a unique paradigm based on contrastive optimum transport that successfully tackles the problems of encouraging diversification and…
Investigating Annotator Bias in Large Language Models for Hate Speech Detection (arXiv)
While previous studies have assessed large language models’ (LLMs) effectiveness as annotators in great detail, this work explores the biases…
Intent-Aware and Hate-Mitigating Counterspeech Generation via Dual-Discriminator Guided LLMs (ACL Anthology)
Those approaches pander more to the semantic information than they do to matching with the intended intentions, because LLMs ignore…
Exploring Cross-Cultural Differences in English Hate Speech Annotations: From Dataset Construction to Analysis (ACL Anthology)
One major flaw in hate speech identification is that most hate speech datasets ignore the cultural variation within a single…
Enhancing Hate Speech Detection in Social Media through Human-Centered Machine Learning Approaches (Åbo Akademi University)
Utilizing a sizable dataset from ConvAbuse, the researchers explore a number of machine learning models, including Logistic Regression and Random…
Comparative Analysis of Hate Speech Detection:Traditional vs. Deep Learning Approaches (IEEE Conference on Artificial Intelligence)
We can identify the benefits and drawbacks of the state-of-the-art methods that are currently in use by taking into account…
Two Weeks in P/CVE: Free Resources on Countering Extremism and Hate, June 2024 (I/II)
Browse and read from a list of the 215 most popular LinkedIn resources dealing with soft counter-extremism and countering hate…
Hate Speech Detection by Using Rationales for Judging Sarcasm (MDPI)
In order to better detect hidden hate comments or posts, the paper introduces sarcasm-based rationale (emoticons or text segments that…