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Averting and Countering Online Hatred.
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…
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…
We can identify the benefits and drawbacks of the state-of-the-art methods that are currently in use by taking into account…
Browse and read from a list of the 215 most popular LinkedIn resources dealing with soft counter-extremism and countering hate…
In order to better detect hidden hate comments or posts, the paper introduces sarcasm-based rationale (emoticons or text segments that…
Browse and read from a list of the 330 most popular LinkedIn resources dealing with soft counter-extremism and countering hate…
The detection of hate speech online is a difficult topic that has drawn a lot of interest recently from the…
From day to day, tech companies – be it social media networks or chat services – moderate and remove large…
Browse and read from a list of the 200 most popular LinkedIn resources dealing with soft counter-extremism and countering hate…
In this study, the authors have calculated the equilibrium points of the hate speech sub-model, the racism sub-model, and the…