Browse > Natural Language Processing > Hate Speech Detection

Hate Speech Detection

15 papers with code · Natural Language Processing

Leaderboards

Greatest papers with code

Deep Learning for Hate Speech Detection in Tweets

1 Jun 2017pinkeshbadjatiya/twitter-hatespeech

Hate speech detection on Twitter is critical for applications like controversial event extraction, building AI chatterbots, content recommendation, and sentiment analysis.

HATE SPEECH DETECTION SENTIMENT ANALYSIS WORD EMBEDDINGS

Hate Speech Dataset from a White Supremacy Forum

WS 2018 aitor-garcia-p/hate-speech-dataset

Hate speech is commonly defined as any communication that disparages a target group of people based on some characteristic such as race, colour, ethnicity, gender, sexual orientation, nationality, religion, or other characteristic.

HATE SPEECH DETECTION

Automated Hate Speech Detection and the Problem of Offensive Language

11 Mar 2017renuka-fernando/sinhalese_language_racism_detection

We train a multi-class classifier to distinguish between these different categories.

HATE SPEECH DETECTION

Comparative Studies of Detecting Abusive Language on Twitter

WS 2018 younggns/comparative-abusive-lang

In this paper, we conduct the first comparative study of various learning models on Hate and Abusive Speech on Twitter, and discuss the possibility of using additional features and context data for improvements.

HATE SPEECH DETECTION TWITTER SENTIMENT ANALYSIS

Measuring the Reliability of Hate Speech Annotations: The Case of the European Refugee Crisis

27 Jan 2017UCSM-DUE/IWG_hatespeech_public

Some users of social media are spreading racist, sexist, and otherwise hateful content.

HATE SPEECH DETECTION

Multilingual and Multi-Aspect Hate Speech Analysis

IJCNLP 2019 HKUST-KnowComp/MLMA_hate_speech

Current research on hate speech analysis is typically oriented towards monolingual and single classification tasks.

HATE SPEECH DETECTION

Hateminers : Detecting Hate speech against Women

17 Dec 2018punyajoy/Hateminers-EVALITA

With the online proliferation of hate speech, there is an urgent need for systems that can detect such harmful content.

HATE SPEECH DETECTION SENTENCE EMBEDDINGS

Detecting Online Hate Speech Using Context Aware Models

RANLP 2017 sjtuprog/fox-news-comments

In the wake of a polarizing election, the cyber world is laden with hate speech.

HATE SPEECH DETECTION