ogencoglu/fair_cyberbullying_detection
Source code and models for the paper "Cyberbullying Detection with Fairness Constraints". IEEE Internet Computing, 2020
This project helps social media platforms and online communities detect cyberbullying in user-generated text, while ensuring the detection models are fair across different identity groups. You input text data, optionally labeled with identity attributes, and the system outputs classifications of cyberbullying that minimize bias. Community moderators, platform safety teams, or trust & safety data scientists would use this.
No commits in the last 6 months.
Use this if you need to build or evaluate cyberbullying detection systems that are specifically designed to be fair and unbiased towards different user groups.
Not ideal if you are looking for an off-the-shelf, plug-and-play cyberbullying detection API without needing to understand or customize the underlying fairness mechanisms.
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19
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Language
Jupyter Notebook
License
MIT
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Last pushed
Mar 25, 2023
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