Forschung mit Twitter – abschließende Bewertung

Pfaffenberger, Fabian

doi:10.1007/978-3-658-14414-2_6

Cited by 1 publication

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“…, 2014). In his study on suitability of Twitter as a data basis for scientific work, Pfaffenberger (2016) argue that Twitter is an interesting and noteworthy source of data (Pfaffenberger, 2016), which makes it an important tool for many kinds of data analysis (Stieglitz et al. , 2018).…”

Section: Theoretical Backgroundmentioning

confidence: 99%

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Performance prediction of basketball players using automated personality mining with twitter data

Siemon

Wessels

2022

SBM

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PurposeThe purpose of this paper is to use Twitter data to mine personality traits of basketball players to predict their performance in the National Basketball Association (NBA).Design/methodology/approachAutomated personality mining and robotic process automation were used to gather data (player statistics and big five personality traits) of n = 185 professional basketball players. Correlation analysis and multiple linear regressions were computed to predict the performance of their NBA careers based on previous college performance and personality traits.FindingsAutomated personality mining of Tweets can be used to gather additional information about basketball players. Extraversion, agreeableness and conscientiousness correlate with basketball performance and can be used, in combination with previous game statistics, to predict future performance.Originality/valueThe study presents a novel approach to use automated personality mining of Twitter data as a predictor for future basketball performance. The contribution advances the understanding of the importance of personality for sports performance and the use of cognitive systems (automated personality mining) and the social media data for predictions. Scouts can use our findings to enhance their recruiting criteria in a multi-million dollar business, such as the NBA.

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Section: Theoretical Backgroundmentioning

confidence: 99%

“…, 2018). Its unrestricted and rapid communication allows detailed insights into the interests, opinions and moods of users, important factors influencing personality (Pfaffenberger, 2016). According to Twitter, the NBA was the most tweeted-about sports league in 2018.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

Performance prediction of basketball players using automated personality mining with twitter data

Siemon

Wessels

2022

SBM

View full text Add to dashboard Cite

show abstract

Forschung mit Twitter – abschließende Bewertung

Cited by 1 publication

References 0 publications

Performance prediction of basketball players using automated personality mining with twitter data

Performance prediction of basketball players using automated personality mining with twitter data

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