Empirical Evaluation of Public Hate Speech Dataset (SSRN)
In this study we provide a comprehensive empirical evaluation of numerous public datasets commonly employed in automated hate speech classification.…
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Averting and Countering Online Hatred.
In this study we provide a comprehensive empirical evaluation of numerous public datasets commonly employed in automated hate speech classification.…
The paper introduces a very current topic in the field of natural language processing oriented to the automatic detection of…
This paper introduces FIGHT, a dataset containing 63,450 tweets, posted before and after the official declaration of Covid-19 as a…
In this paper, we test whether natural language inference (NLI) models which perform well in zero- and few-shot settings can…
e revisit if we can learn a generalizable hate speech detection model for the cross platform setting, where we train…
The fast spread of hate speech on social media impacts the Internet environment and our society by increasing prejudice and…
In this work, we shed light on various combination techniques for several PLMs and comprehensively analyze their effectiveness. Our findings…
In this paper, we perform a large-scale cross-dataset comparison where we fine-tune language models on different hate speech detection datasets.…
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…
To date, athletes were not observed as a vulnerable group, so they were not a subject of automatic Hate Speech…
The proliferation of harmful content on online platforms is a major societal problem, which comes in many different forms including…