hate-speech

Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using ⚡ Pytorch Lightning and 🤗 Transformers.

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

Korean HateSpeech Dataset

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

The world's largest social media toxicity dataset.

Hate Speech Detection Library for Python.

DeEpLearning models for MultIlingual haTespeech (DELIMIT): Benchmarking multilingual models across 9 languages and 16 datasets.

Code for the paper "Characterizing and Detecting Hateful Users on Twitter"

The Natural Portuguese Language Benchmark (Napolab). Stay up to date with the latest advancements in Portuguese language models and their performance across carefully curated Portuguese language tasks.

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

Repository for the paper "ViHOS: Vietnamese Hate and Offensive Spans Detection" (EACL2023)

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

iVerify Apps: Apps that support the AI-powered iVerify platform to combat misinformation and hate speech

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

Data and code from our stories, "Google Has a Secret Blocklist that Hides YouTube Hate Videos from Advertisers—But It’s Full of Holes," and "Google Blocks Advertisers from Targeting Black Lives Matter YouTube Videos."

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.

Dataset and code implementation for the paper "Decoding the Underlying Meaning of Multimodal Hateful Memes" (IJCAI'23).

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

A Python package to compute HONEST, a score to measure hurtful sentence completions in language models. Published at NAACL 2021.

This is a repository for AfriHate Project