Analysis of tweets about football: 2013 and 2018 leagues in Turkey

Selcen, Öztürkcan and Kasap, Nihat and Tanaltay, Altuğ and Özdinç, Mesut (2019) Analysis of tweets about football: 2013 and 2018 leagues in Turkey. Behaviour and Information Technology . ISSN 0144-929X (Print) 1362-3001 (Online) Published Online First http://dx.doi.org/10.1080/0144929X.2019.1583284

Warning
There is a more recent version of this item available.
[thumbnail of Kasap_2019_Behaviour_&_IT.pdf] PDF
Kasap_2019_Behaviour_&_IT.pdf
Restricted to Repository staff only

Download (3MB) | Request a copy

Abstract

Football has recently developed into a unique sector with complex management and marketing functions, where novel communication technologies are employed. In this paper, we aim to contribute to the numerous fields involving emerging European sports marketing literature, social media analytics, and digital consumer behaviour. Our purpose is to explore Twitter use related with football by analyzing real-time streamed data in offering a longitudinal perspective by focusing on 2013 and 2018 leagues in Turkey via the use of social media analytics framework. Retrieved dataset involved randomly selected publicly available 370 thousand and 6.8 million real-time tweets in 2013 and 2018 leagues, respectively. We report that majority of tweets about the football was posted within the three-hour window before the match independent of the match result and the importance of the result. Moreover, pre-match tweeting volume was almost a crystal ball signalling match winning. Our findings are valuable for sports managers and marketers where some key suggestions provided are to involve particular contexts of winning or losing in their after-match marketing plans, to value weekdays as much as the weekends, and to utilise the after-work prime time of social media engagement.
Item Type: Article
Uncontrolled Keywords: Sports marketing, social media, football, tweeting behaviour, big data, Turkey
Divisions: Sabancı Business School
Sabancı Business School > Operations Management and Information Systems
Faculty of Engineering and Natural Sciences
Depositing User: Nihat Kasap
Date Deposited: 04 Aug 2019 22:49
Last Modified: 26 Apr 2022 10:05
URI: https://research.sabanciuniv.edu/id/eprint/37383

Available Versions of this Item

Actions (login required)

View Item
View Item