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 …
[HTML][HTML] A systematic review of hate speech automatic detection using natural language processing
With the multiplication of social media platforms, which offer anonymity, easy access and
online community formation and online debate, the issue of hate speech detection and …
online community formation and online debate, the issue of hate speech detection and …
Hatebert: Retraining bert for abusive language detection in english
In this paper, we introduce HateBERT, a re-trained BERT model for abusive language
detection in English. The model was trained on RAL-E, a large-scale dataset of Reddit …
detection in English. The model was trained on RAL-E, a large-scale dataset of Reddit …
Overview of the germeval 2018 shared task on the identification of offensive language
We present the pilot edition of the GermEval Shared Task on the Identification of Offensive
Language. This shared task deals with the classification of German tweets from Twitter. It …
Language. This shared task deals with the classification of German tweets from Twitter. It …
Detection of abusive language: the problem of biased datasets
We discuss the impact of data bias on abusive language detection. We show that
classification scores on popular datasets reported in previous work are much lower under …
classification scores on popular datasets reported in previous work are much lower under …
A deep neural network based multi-task learning approach to hate speech detection
With the advent of the internet and numerous social media platforms, citizens now have
enormous opportunities to express and share their opinions on various societal and political …
enormous opportunities to express and share their opinions on various societal and political …
A literature survey on multimodal and multilingual automatic hate speech identification
Social media is a more common and powerful platform for communication to share views
about any topic or article, which consequently leads to unstructured toxic, and hateful …
about any topic or article, which consequently leads to unstructured toxic, and hateful …
I feel offended, don't be abusive! implicit/explicit messages in offensive and abusive language
Abusive language detection is an unsolved and challenging problem for the NLP
community. Recent literature suggests various approaches to distinguish between different …
community. Recent literature suggests various approaches to distinguish between different …
Hurtlex: A multilingual lexicon of words to hurt
We describe the creation of HurtLex, a multilingual lexicon of hate words. The starting point
is the Italian hate lexicon developed by the linguist Tullio De Mauro, organized in 17 …
is the Italian hate lexicon developed by the linguist Tullio De Mauro, organized in 17 …
[PDF][PDF] Detection of hate speech in social networks: a survey on multilingual corpus
A Al-Hassan, H Al-Dossari - 6th international conference on …, 2019 - academia.edu
In social media platforms, hate speech can be a reason of “cyber conflict” which can affect
social life in both of individual-level and country-level. Hateful and antagonistic content …
social life in both of individual-level and country-level. Hateful and antagonistic content …