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Predicting YouTube Hate Using Machine Learning​​

Group B5: Areej Soleja, Amish Gautam, Alvaro Tapia Huaman

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Project Summary

YouTube has been an online video sharing platform for over 15 years now. Around 3.7 million new video are uploaded each day regarding various topics, issues and genres. However, the platform's open nature has given rise to a growing concern among creators - hate speech and cyberbullying. To alleviate this issue, we have developed a model that predicts whether a YouTube video is likely to receive hateful comments. By analyzing various factors, our model can help creators take proactive measures to protect their mental health and well-being, while also helping YouTube improve its moderation efforts and create a safer and more positive environment for all users.

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Deliverables

These are the deliverables created for the purpose of our project. Includes: Final Project Report, PowerPoint, and Code. In order to download each of them, please click the image respectively.

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Final Project Report

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PowerPoint Presentation

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Code

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