Resources and benchmark corpora for hate speech detection: a systematic review
Hate Speech in social media is a complex phenomenon, whose detection has recently
gained significant traction in the Natural Language Processing community, as attested by …
gained significant traction in the Natural Language Processing community, as attested by …
Directions in abusive language training data, a systematic review: Garbage in, garbage out
Data-driven and machine learning based approaches for detecting, categorising and
measuring abusive content such as hate speech and harassment have gained traction due …
measuring abusive content such as hate speech and harassment have gained traction due …
[HTML][HTML] Offensive, aggressive, and hate speech analysis: From data-centric to human-centered approach
Abstract Analysis of subjective texts like offensive content or hate speech is a great
challenge, especially regarding annotation process. Most of current annotation procedures …
challenge, especially regarding annotation process. Most of current annotation procedures …
A multilingual evaluation for online hate speech detection
The increasing popularity of social media platforms such as Twitter and Facebook has led to
a rise in the presence of hate and aggressive speech on these platforms. Despite the …
a rise in the presence of hate and aggressive speech on these platforms. Despite the …
A corpus of Turkish offensive language on social media
Ç Çöltekin - Proceedings of the Twelfth language resources and …, 2020 - aclanthology.org
This paper introduces a corpus of Turkish offensive language. To our knowledge, this is the
first corpus of offensive language for Turkish. The corpus consists of randomly sampled …
first corpus of offensive language for Turkish. The corpus consists of randomly sampled …
[PDF][PDF] Overview of the evalita 2018 hate speech detection task
The Hate Speech Detection (HaSpeeDe) task is a shared task on Italian social media
(Facebook and Twitter) for the detection of hateful content, and it has been proposed for the …
(Facebook and Twitter) for the detection of hateful content, and it has been proposed for the …
[HTML][HTML] Psychographic traits identification based on political ideology: An author analysis study on spanish politicians' tweets posted in 2020
In general, people are usually more reluctant to follow advice and directions from politicians
who do not have their ideology. In extreme cases, people can be heavily biased in favour of …
who do not have their ideology. In extreme cases, people can be heavily biased in favour of …
A multi-task learning approach to hate speech detection leveraging sentiment analysis
The rise of social media platforms has significantly changed the way our world
communicates, and part of those changes includes a rise in inappropriate behaviors, such …
communicates, and part of those changes includes a rise in inappropriate behaviors, such …
Tackling cyber-aggression: Identification and fine-grained categorization of aggressive texts on social media using weighted ensemble of transformers
The pervasiveness of aggressive content in social media has become a serious concern for
government organizations and tech companies because of its pernicious societal effects. In …
government organizations and tech companies because of its pernicious societal effects. In …
Toxic language detection in social media for Brazilian Portuguese: New dataset and multilingual analysis
Hate speech and toxic comments are a common concern of social media platform users.
Although these comments are, fortunately, the minority in these platforms, they are still …
Although these comments are, fortunately, the minority in these platforms, they are still …