Full metadata
Title
YouTube Video Bot Detection – A Deep Learning-Based Framework
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.
Date Created
2019-05
Contributors
- 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)
Topical Subject
Extent
15 pages
Language
eng
Copyright Statement
In Copyright
Primary Member of
Series
Academic Year 2018-2019
Handle
https://hdl.handle.net/2286/R.I.52464
Level of coding
minimal
Cataloging Standards
System Created
- 2019-04-13 12:00:58
System Modified
- 2021-08-11 04:09:57
- 3 years 3 months ago
Additional Formats