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 [email protected].

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.

Multilingual Offensive Lexicon consists of the first contextual lexicon for abusive language detection, which is composed of 1,000 explicit and implicit terms and expressions with any pejorative connotation annotated with contextual information

A project implementing better evaluation scenarios for community models for malicious content detection, and meta-learning GNNs to achieve better downstream adaptation.

This repository contains the system description and the codes that we implemented for participating in EACL-2024 Shared Task-5.

This is a repository for AfriHate Project

This repository contains code for zeroshot counterspeech generation.

Does fear speech exists in moderation free platform ? How does it compare with hate speech ? Our paper accepted in The PNAS (2022) tries to explore these questions in light of Gab Platform.

The task is a binary classification problem to classify the given dataset into two classes namely Hate Offensive tweets (HOF) and Non-Hate Offensive tweets (NOT). The task appeared as Subtask-A in HASOC 2021. The dataset taken is sampled from Twitter. It consists of twitter posts in Hindi and Hinglish language.

It is a Hate Speech Detector using a Decision Tree Classifier

A machine learning model for generating TERF nonsense, because I was bored and it sounded funny.

Infrastructure for hate-speech detection

Empower online spaces with TextSecureAI – an innovative Cyberbullying Detection project. Utilizing advanced sentiment analysis, Naive Bayes, and SVM, this system ensures swift identification of hate speech on Twitter. Achieving 95% precision, it's a formidable guardian against online toxicity. Join us in creating a safer digital world! 🌐🛡️

A dataset containing hate speech in text form transcribed from Filipino Tiktok videos related to politics.

UINSUSKA participation in HASOC 2023 Task 1

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

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

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

Przetak: fewer weeds on the Web