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

Korean HateSpeech Dataset

Hate Speech Detection Library for Python.

DeEpLearning models for MultIlingual haTespeech

Characterization and detection of hateful users on Twitter.

Can we use explanations to improve hate speech models? Paper accepted at AAAI 2021.

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

Data and code from our story, "Google Has a Secret Blocklist that Hides YouTube Hate Videos from Advertisers—But It’s Full of Holes."

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.

Code for replicating results of team 'hateminers' at EVALITA-2018 for AMI task

Understanding hateful subreddits through text clustering

Intersectional bias in hate speech and abusive language datasets

Classifying hate speech with deep learning (honors thesis 2017-18)

Hierarchical Multi Label Hate Speech and Abusive Language Classification

PHARM (Preventing Hate Against Refugees and Migrants) is a European project funded by the European Union, within Rights, Equality and Citizenship program. The main goal of the project is to monitor and model hate speech against refugees and migrants in Greece, Italy and Spain in order to predict and combat hate crime.

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

Useful resources for hate speech detection in Spanish

Repository hosting dataset for the Shared Task on Aggression Identification during First Workshop on Trolling, Aggression and Cyberbullying (TRAC - 1) as COLING - 2018. Please visit the workshop website - https://sites.google.com/view/trac1/home - for more details

INFX 573: Data Science Theoretical Foundations Course Project

Models to detect hateful comments served with flask trained on Kaggle's Toxic Comment Classification Challenge dataset.

Dockerized basic tweet classifier app. Hate speech and offensive language detection model using various Machine Learning and NLP techniques. Also, Hate Speech Detection for tweets with k8s Cluster

Prototype to detect Spanish hate-speech against women online.

Using NLP techniques and Sentiment Analysis of Hate Tweets for Automated Hate Speech Detection

Rage guy's twitter

Baseline for the HatePic dataset

In this repository will be published some of the corpora that I helped to create or to annotate.

Evaluates a client-side model built on top of the Universal Sentence Encoder to detect hateful content selected for the analysis

Przetak: fewer weeds on the Web

MANDOLApp is a hate-speech reporting mobile application that is aims to provide the ability of anonymous reporting of hate-speech and other material found in the web and social media with cross platform compatibility between Android, IOS and Windows mobile devices and statistical analysis considering hate-speech in order to raise the awareness of the user about the impact of hate-speech on the world.