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 …
GPT is an effective tool for multilingual psychological text analysis
The social and behavioral sciences have been increasingly using automated text analysis to
measure psychological constructs in text. We explore whether GPT, the large-language …
measure psychological constructs in text. We explore whether GPT, the large-language …
Kuisail at semeval-2020 task 12: Bert-cnn for offensive speech identification in social media
In this paper, we describe our approach to utilize pre-trained BERT models with
Convolutional Neural Networks for sub-task A of the Multilingual Offensive Language …
Convolutional Neural Networks for sub-task A of the Multilingual Offensive Language …
SemEval-2022 Task 5: Multimedia automatic misogyny identification
The paper describes the SemEval-2022 Task 5: Multimedia Automatic Misogyny
Identification (MAMI), which explores the detection of misogynous memes on the web by …
Identification (MAMI), which explores the detection of misogynous memes on the web by …
Towards generalisable hate speech detection: a review on obstacles and solutions
Hate speech is one type of harmful online content which directly attacks or promotes hate
towards a group or an individual member based on their actual or perceived aspects of …
towards a group or an individual member based on their actual or perceived aspects of …
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 …
Overview of the shared task on hope speech detection for equality, diversity, and inclusion
BR Chakravarthi, V Muralidaran… - Proceedings of the …, 2022 - aclanthology.org
Hope Speech detection is the task of classifying a sentence as hope speech or non-hope
speech given a corpus of sentences. Hope speech is any message or content that is …
speech given a corpus of sentences. Hope speech is any message or content that is …
Overview of the hasoc subtrack at fire 2021: Hate speech and offensive content identification in english and indo-aryan languages and conversational hate speech
The HASOC track is dedicated to the evaluation of technology for finding Offensive
Language and Hate Speech. HASOC is creating a multilingual data corpus mainly for …
Language and Hate Speech. HASOC is creating a multilingual data corpus mainly for …
[HTML][HTML] How can we detect homophobia and transphobia? experiments in a multilingual code-mixed setting for social media governance
Homophobia or Transphobia can be defined as the hatred, discomfort, or dislike of lesbian,
gay, transgender or bisexual people. Studies have shown that these individuals were more …
gay, transgender or bisexual people. Studies have shown that these individuals were more …