Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using ⚡ Pytorch Lightning and 🤗 Transformers. For access to our API, please email us at contact@unitary.ai.

Repository for the paper "Automated Hate Speech Detection and the Problem of Offensive Language", ICWSM 2017

A browser extension to block likers, retweeters, list members and Twitter ads and share your block lists with others. - say NO to hate speech!

Deep Learning models to detect hate speech in tweets

Can we use explanations to improve hate speech models? Our paper accepted at AAAI 2021 tries to explore that question.

A minimum-dependency ECMAScript client library and CLI tool for Parler – a "free speech" social network that accepts real money to buy "influence" points to boost organic non-advertising content

Python code to detect hate speech and classify twitter texts using NLP techniques and Machine Learning

This repository contains papers and resources pertaining to Hate speech research.

This repository contains Korean Hate Speech dataset for paper, "K-MHaS: A Multi-label Hate Speech Detection Dataset in Korean Online News Comment", accepted by COLING2022.

Resources and tools for the Tutorial - "Hate speech detection, mitigation and beyond" presented at ICWSM 2021

Cyber Hate detection And tracking on Social mEdia

Repository for the paper "Thou shalt not hate: Countering Online Hate Speech" accepted at ICWSM 2019.

This is a python project that is used to identify hate speech in tweets. The dataset used to train the model is available on Kaggle and consists of labelled tweets where 1 indicates hate speech tweets and 0 indicates non-hate speech tweets.

Can fear be used for polarisation and spreading negativity? Our paper accepted in The Web conference 2021 tries to explore this question in light of public Whatsapp groups.

NLP model that uses Machine Learning to detect offensive tweets, and classify it's target.

Turkish and English Dataset from "Large-Scale Hate Speech Detection with Cross-Domain Transfer"

Repository for the CLiPS HAte speech DEtection System [HADES].

Contains code for a voting classifier that is part of an ensemble learning model for tweet classification (which includes an LSTM, a bayesian model and a proximity model) and a system for weighted voting

Testing and training detection models for emoji-based hate speech.

Trained Neural Networks (LSTM, HybridCNN/LSTM, PyramidCNN, Transformers, etc.) & comparison for the task of Hate Speech Detection on the OLID Dataset (Tweets).