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- All Subjects: Bot Detection
- Creators: Benjamin, Victor
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.
ContributorsSai, 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)
Created2019-05
Description
Bots and networks of bots (known as a botnet) are a powerful tool in the world of misinformation. However, there are methods being developed to counter these tools. One such method is the use of Artificial Intelligence and machine learning to automatically filter, block, and identify bot accounts and bot posts. Since the influx of bot posts and videos is too much for hired people to handle in any way that is financially reasonable for a company, AI can be the key to preventing the spread of information.
ContributorsStievater, Andrew Michael (Author) / Benjamin, Victor (Thesis director) / Ahmad, Altaf (Committee member) / Department of Information Systems (Contributor) / Barrett, The Honors College (Contributor)
Created2019-05