Abuse Detection

27 papers with code • 0 benchmarks • 3 datasets

Abuse detection is the task of identifying abusive behaviors, such as hate speech, offensive language, sexism and racism, in utterances from social media platforms (Source: https://arxiv.org/abs/1802.00385).

Most implemented papers

Racial Bias in Hate Speech and Abusive Language Detection Datasets

t-davidson/hate-speech-and-offensive-language WS 2019

Technologies for abusive language detection are being developed and applied with little consideration of their potential biases.

Comparative Studies of Detecting Abusive Language on Twitter

younggns/comparative-abusive-lang WS 2018

However, this dataset has not been comprehensively studied to its potential.

Understanding Abuse: A Typology of Abusive Language Detection Subtasks

t-davidson/hate-speech-and-offensive-language WS 2017

As the body of research on abusive language detection and analysis grows, there is a need for critical consideration of the relationships between different subtasks that have been grouped under this label.

One-step and Two-step Classification for Abusive Language Detection on Twitter

younggns/comparative-abusive-lang WS 2017

Automatic abusive language detection is a difficult but important task for online social media.

Detecting Offensive Language in Tweets Using Deep Learning

gpitsilis/hate-speech 13 Jan 2018

This paper addresses the important problem of discerning hateful content in social media.

Author Profiling for Abuse Detection

pushkarmishra/AuthorProfilingAbuseDetection COLING 2018

The rapid growth of social media in recent years has fed into some highly undesirable phenomena such as proliferation of hateful and offensive language on the Internet.

Did you offend me? Classification of Offensive Tweets in Hinglish Language

pmathur5k10/Hinglish-Offensive-Text-Classification WS 2018

The use of code-switched languages (\textit{e. g.}, Hinglish, which is derived by the blending of Hindi with the English language) is getting much popular on Twitter due to their ease of communication in native languages.

Offensive Language Analysis using Deep Learning Architecture

RyanOngAI/semeval-2019-task6 12 Mar 2019

Once we are happy with the quality of our input data, we proceed to choosing the optimal deep learning architecture for this task.

Abusive Language Detection in Online Conversations by Combining Content-and Graph-based Features

CompNet/Alert 20 May 2019

In recent years, online social networks have allowed worldwide users to meet and discuss.