Indicators for characterising online hate speech and its automatic detection (arXiv)
Comparing the manual classification performed by machine learning algorithms with the expert pedagogists’ classification of 3,600 tweets in the context…
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Averting and Countering Online Hatred.
Comparing the manual classification performed by machine learning algorithms with the expert pedagogists’ classification of 3,600 tweets in the context…
Browse and read from a list of the 180 most popular LinkedIn resources dealing with counter-extremism and countering hate speech,…
Browse and read from a list of the 130 most popular LinkedIn resources that deal with counter-extremism and countering hate…
This article aims to address this gap by examining the significance of toxicity in discourse and how the infrastructure of…
This article contributes to ongoing debates on platform regulation by governments and other political authorities (especially the EU as a…
e propose defining and experimenting with controllable strategies for generating counter-arguments to hateful comments in online conversations. We experiment with…
The paper describes the organization of the SemEval 2019 Task 5 about the detection of hate speech against immigrants and…
Browse and read from a list of the 150 most popular LinkedIn resources that deal with counter-extremism and countering hate…
In this paper, we first provide an in-depth and systematic analysis of 7 standard benchmarks for HS detection, relying on…
In this paper, we provide an annotated corpus of hate speech with context information well kept. Then we propose two…
As hate speech against a person or a group of people in social media platforms … take center stage in…
Browse and read from a list of the 160 most popular LinkedIn resources that deal with counter-extremism and countering hate…