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CC BY V4.0, Open Access
Thesis
Comedy, Controversy, and Computers: Evaluating the Validity and Usability of Machine Learning Classifiers for Entertainment Media
Washington State University
Master of Arts (MA), Washington State University
2023
DOI:
https://doi.org/10.7273/000005342
Abstract
As technology has changed the way in which entertainment media is distributed, researchers have had to adapt their methods to retain validity as well as match the new scale of these complex and individualized systems. Limitations sections of recent research continually cite the need to improve scholars' toolkits to address this growing gap. While scholars in political communication and journalism have used these techniques, scholars within entertainment have, comparatively, not adopted these methods to the same extent. Some scholars cite concerns that adoption of technology ignores potential problems within accessibility and validity. This thesis tests NVivo’s “experimental” implementation of machine learning; evaluating its precision and reliability. Results show potential for future adoption and validation of NVivo’s auto coder feature and gives insight on training set construction.
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Details
- Title
- Comedy, Controversy, and Computers
- Creators
- Geoffrey D Thatcher
- Contributors
- Jordan Foley (Advisor)Stacey Hust (Committee Member)Alexis Tan (Committee Member)Shannon C McGregor (Committee Member)
- Awarding Institution
- Washington State University
- Academic Unit
- Edward R. Murrow College of Communication
- Theses and Dissertations
- Master of Arts (MA), Washington State University
- Publisher
- Washington State University
- Number of pages
- 72
- Identifiers
- 99901031440701842
- Language
- English
- Resource Type
- Thesis