Online abuse can inflict harm on users and communities, making online spaces unsafe and toxic. Progress in automatically detecting and classifying abusive content is often held back by the lack of high quality and detailed datasets.We introduce a new dataset of primarily English Reddit entries which addresses several limitations of prior work. It (1) contains six conceptually distinct primary categories as well as secondary categories, (2) has labels annotated in the context of the conversation thread, (3) contains rationales and (4) uses an expert-driven group-adjudication process for high quality annotations. We report several baseline models to benchmark the work of future researchers. The annotated dataset, annotation guidelines, models...
Online abusive content detection is an inherently difficult task. It has received considerable atten...
The datasets most widely used for abusive language detection contain lists of messages, usually twe...
Abstract The issues of cyberbullying and online harassment have gained considerable coverage in the ...
Online abuse can inflict harm on users and communities, making online spaces unsafe and toxic. Progr...
Introducing CAD: the Contextual Abuse Dataset Bertie Vidgen, Dong Nguyen, Helen Margetts, Patricia R...
Abusive language is a growing phenomenon on social media platforms. Its effects can reach beyond the...
User-generated web content is rife with abusive language that can harm others and discourage partici...
Today’s digital landscape is characterized by the pervasive presence of online communities. One of t...
Dataset and code for the paper, 'Recalibrating classifiers for interpretable abusive content detecti...
International audienceOnline communities have gained considerable importance in recent years due to ...
Cyberbullying is the use of digital communication tools and spaces to inflict physical, mental, or e...
Domestic abuse affects people of every race, class, age, and nation. There is sig-nificant research ...
Datasets to train models for abusive language detection are at the same time necessary and still sca...
Online discussion sites are plagued with various types of unwanted content, such as spam and obscene...
In this paper, we introduce a new English Twitter-based dataset for online abuse and cyberbullying d...
Online abusive content detection is an inherently difficult task. It has received considerable atten...
The datasets most widely used for abusive language detection contain lists of messages, usually twe...
Abstract The issues of cyberbullying and online harassment have gained considerable coverage in the ...
Online abuse can inflict harm on users and communities, making online spaces unsafe and toxic. Progr...
Introducing CAD: the Contextual Abuse Dataset Bertie Vidgen, Dong Nguyen, Helen Margetts, Patricia R...
Abusive language is a growing phenomenon on social media platforms. Its effects can reach beyond the...
User-generated web content is rife with abusive language that can harm others and discourage partici...
Today’s digital landscape is characterized by the pervasive presence of online communities. One of t...
Dataset and code for the paper, 'Recalibrating classifiers for interpretable abusive content detecti...
International audienceOnline communities have gained considerable importance in recent years due to ...
Cyberbullying is the use of digital communication tools and spaces to inflict physical, mental, or e...
Domestic abuse affects people of every race, class, age, and nation. There is sig-nificant research ...
Datasets to train models for abusive language detection are at the same time necessary and still sca...
Online discussion sites are plagued with various types of unwanted content, such as spam and obscene...
In this paper, we introduce a new English Twitter-based dataset for online abuse and cyberbullying d...
Online abusive content detection is an inherently difficult task. It has received considerable atten...
The datasets most widely used for abusive language detection contain lists of messages, usually twe...
Abstract The issues of cyberbullying and online harassment have gained considerable coverage in the ...