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Averting and Countering Online Hatred.
Hate speech has unfortunately become a significant phenomenon on social media platforms, and it can cover various topics (misogyny, sexism,…
Our research introduces a cross-platform hate speech detection model capable of being trained on one platform’s data and generalizing to…
The automatic detection of hate speech online is an active research area in NLP. Most of the studies to date…
Browse and read from a list of the 150 most popular LinkedIn posts about counter-extremism and countering hate speech by…
This document sets up the main recommendations identified through the three years of engagement and dialogue on this topic. It…
The policy paper, Countering and Addressing Online Hate Speech: A Guide for Policy Makers and Practitioners, was developed jointly by…
In this paper, we argue that these systemic injustices must inform how we think of tortuous harms that arise from…
In this study we provide a comprehensive empirical evaluation of numerous public datasets commonly employed in automated hate speech classification.…
This paper introduces FIGHT, a dataset containing 63,450 tweets, posted before and after the official declaration of Covid-19 as a…
In this work, we shed light on various combination techniques for several PLMs and comprehensively analyze their effectiveness. Our findings…
Browse and read from a list of the 130 most popular LinkedIn posts about counter-extremism and countering hate speech by…
Browse and read from a list of the 130 most popular LinkedIn posts about counter-extremism and countering hate speech by…