Description
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.
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Details
Title
- YouTube Video Bot Detection – A Deep Learning-Based Framework
Contributors
Agent
- Sai, Lun (Author)
- Benjamin, Victor (Thesis director)
- Lin, Elva S.Y. (Committee member)
- Department of Information Systems (Contributor, Contributor)
- School of Accountancy (Contributor)
- School of Mathematical and Statistical Sciences (Contributor)
- Barrett, The Honors College (Contributor)
Date Created
The date the item was original created (prior to any relationship with the ASU Digital Repositories.)
2019-05
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