Full metadata
Title
Social Media in Basketball: Measuring NBA Team Performance and Fan Twitter Sentiment to Gauge Fan Engagement and Revenue Generation
Description
Basketball has evolved and is continuing to evolve in parallel with media and communication. The 21st century bears witness to the digitization of basketball, media, and communication with the advent of social media. Arguably the most esteemed professional basketball league in the world, the National Basketball Association (NBA) observes fans and players alike conversing about the game through social media platforms available across the world. One of the most popular platforms, Twitter, enables anyone with a computer to write a textual post known as a “tweet” that can be made viewable to the public. The Twitter landscape holds a trove of data and information including “sentiment” for NBA teams to analyze with the goal of improving the success of their team from a managerial perspective. Two aspects this paper will examine are fan engagement and revenue generation from the perspective of several franchises in the NBA. The purpose of this research is to explore and discover if key measures of performance including both the number of points scored in a game and the game outcome either being a win or a loss, and the location of a game being won either at home or away on the road influence fan Twitter sentiment and if there is a correlation between fan Twitter sentiment and game attendance. The statistical computing tool RStudio in combination with data compiled from online databases and websites including Basketball Reference, Wikipedia, ESPN, and Statista are employed to execute two t-tests, two analysis of variance (ANOVA) tests, and one correlation test. The results indicate there is a significant difference in fan Twitter sentiment between high-scoring games and low-scoring games, between game wins and losses, among games being won at home versus away on the road, and there is no conclusion that can be made regarding any existing correlation between fan Twitter sentiment and game attendance.
Date Created
2022-05
Contributors
- Kwan, Matthew (Author)
- McIntosh, Daniel (Thesis director)
- Eaton, John (Committee member)
- Barrett, The Honors College (Contributor)
- School of Mathematical and Statistical Sciences (Contributor)
- Department of Information Systems (Contributor)
Topical Subject
Resource Type
Copyright Statement
In Copyright
Primary Member of
Peer-reviewed
No
Open Access
No
Series
Academic Year 2021-2022
Handle
https://hdl.handle.net/2286/R.2.N.164507
System Created
- 2022-04-05 06:00:24
System Modified
- 2023-01-10 11:47:14
- 1 year 10 months ago
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