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132837 https://hdl.handle.net/2286/R.I.52464 http://rightsstatements.org/vocab/InC/1.0/ 2019-05 15 pages eng Sai, Lun Benjamin, Victor Lin, Elva S.Y. Department of Information Systems School of Accountancy Department of Information Systems School of Mathematical and Statistical Sciences Barrett, The Honors College YouTube video bots have been constantly generating bot videos and posting them on the YouTube platform. While these bot-generated videos negatively influence the YouTube audience, they cost YouTube extra resources to host. The goal for this project is to build a classifier that identifies bot-generated channels based on a deep learning-based framework. We designed the framework to take text, audio, and video features into account. For the purpose of this thesis project, we will be focusing on text classification work. Bot Detection YouTube Deep learning YouTube Video Bot Detection – A Deep Learning-Based Framework