Repository for Thomas Davidson, Dana Warmsley, Michael Macy, and Ingmar Weber. 2017. "Automated Hate Speech Detection and the Problem of Offensive Language." ICWSM. You read the paper here.
NOTE: This repository is no longer actively maintained. Please do not post issues regarding the compatibility of the existing code with new versions of Python or the packages used. I will not accept any pull requests. If you plan to use this data or code in your research, please review the issues, as several Github users have suggested changes or improvements to the codebase.
We have a new paper on racial bias in this dataset and others, you can read it here
WARNING: The data, lexicons, and notebooks all contain content that is racist, sexist, homophobic, and offensive in many other ways.
You can find our labeled data in the data directory. We have included them as a pickle file (Python 2.7) and as a CSV. You will also find a notebook in the src directory containing Python 2.7 code to replicate our analyses in the paper and a lexicon in the lexicons directory that we generated to try to more accurately classify hate speech. The classifier directory contains a script, instructions, and the necessary files to run our classifier on new data, a test case is provided.
Please cite our paper in any published work that uses any of these resources.
@inproceedings{hateoffensive,
title = {Automated Hate Speech Detection and the Problem of Offensive Language},
author = {Davidson, Thomas and Warmsley, Dana and Macy, Michael and Weber, Ingmar},
booktitle = {Proceedings of the 11th International AAAI Conference on Web and Social Media},
series = {ICWSM '17},
year = {2017},
location = {Montreal, Canada},
pages = {512-515}
}
Contact We would also appreciate it if you could fill out this short form if you are interested in using our data so we can keep track of how these data are used and get in contact with researchers working on similar problems.
If you have any questions please contact thomas dot davidson at rutgers dot edu.
