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

Hate Speech Detection Library for Python.

The world's largest social media toxicity dataset.

This is a simple python program which uses a machine learning model to detect toxicity in tweets, developed in Flask.

[BEA @ ACL 2023] General-purpose tool for linguistic features extraction; Tested on readability assessment, essay scoring, fake news detection, hate speech detection, etc.

WhiteLightning distills massive, state-of-the-art language models into lightweight, hyper-efficient text classifiers. It's a command-line tool that lets you create specialized models that run anywhere—from the cloud to the edge—using the universal ONNX format for maximum compatibility.

Datasets for Hate Speech Detection

This repository contains a dataset for hate speech detection on social media platforms.

The Dataset for Multi Label Hate Speech and Abusive Language Detection in Indonesian Twitter

Polish Dataset of Banned Harmful and Offensive Content from Wykop.pl web service

Röttger et al. (ACL 2021): "HateCheck: Functional Tests for Hate Speech Detection Models" - Data

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

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.

[ACL2025] STATE ToxiCN: A Benchmark for Span-level Target-Aware Toxicity Extraction in Chinese Hate Speech Detection

HateBR is the first large-scale expert annotated dataset of Brazilian Instagram comments for hate speech and offensive language detection on the web and social media.

A BERT-Based Transfer Learning Approach for Hate Speech Detection in Online Social Media

Hate-speech and offensive language detection model using various Machine Learning and NLP techniques and labeled Twitter data

A repository

Official implementation of the paper "Deep Learning for Hate Speech Detection -A Comparative Study"

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

A web-app to identify toxic comments in a youtube channel and delete them.

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.

A SPICE-program funded project where the goal is to detect hate speech in social media.

Sinhalese Language based Hate Speech Detection

Improving Indonesian text classification using multilingual language model

(NeurIPS 2022) Official Implementation of Public Wisdom Matters! Discourse-Aware Hyperbolic Fourier Co-Attention for Social-Text Classification

Capstone project to automate Twitter hate speech detection with classification modeling.

The Dataset for Hate Speech Detection in Indonesian (Bahasa Indonesia)

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