Search results

1 – 1 of 1
Per page
102050
Citations:
Loading...
Available. Open Access. Open Access
Article
Publication date: 9 August 2022

Dominik Siemon and Jörn Wessels

The 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).

1754

Abstract

Purpose

The 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/approach

Automated 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.

Findings

Automated 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/value

The 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.

Details

Sport, Business and Management: An International Journal, vol. 13 no. 2
Type: Research Article
ISSN: 2042-678X

Keywords

1 – 1 of 1
Per page
102050