Counter hate speech detection in Youtubeconversations (IPMU2024)
Responding with counter-speech is one way to stop the spread of hate speech. In this work, models for identifying counterspeech…
Averting and Countering Online Hatred
Responding with counter-speech is one way to stop the spread of hate speech. In this work, models for identifying counterspeech…
Through the use of sophisticated natural language processing methods and sentiment analysis, the study aims to locate and classify hate…
Browse and read from a list of the 390 most popular LinkedIn resources dealing with soft counter-extremism and countering hate…
Given the growing threats to the integrity of the information ecosystem and the appearance of widely accessible advances in AI…
Under the context of the United Nations Strategy and Plan of Action against Hate Speech, which was introduced by the…
The UNDP honors the global efforts of youngsters on the third International Day of Countering Hate Speech. A little over…
This research offers a thorough conceptual analysis to differentiate between hate speech, misinformation, and disinformation. It was commissioned by the…
This study presents a unique paradigm based on contrastive optimum transport that successfully tackles the problems of encouraging diversification and…
While previous studies have assessed large language models’ (LLMs) effectiveness as annotators in great detail, this work explores the biases…
Those approaches pander more to the semantic information than they do to matching with the intended intentions, because LLMs ignore…
One major flaw in hate speech identification is that most hate speech datasets ignore the cultural variation within a single…
Utilizing a sizable dataset from ConvAbuse, the researchers explore a number of machine learning models, including Logistic Regression and Random…