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The Olympic Gold Medalists on Instagram: A Data Mining Approach to Study User Characteristics

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Computer Networks, Big Data and IoT

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 117))

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Abstract

Olympic champions have been real idols for a significant portion of society, and by the advent of social media, their influence has increased rapidly. Despite their impact, they have been less studied. A primary step to grasp their cybercharacter is to examine their Instagram characteristics with possible gender differences and correlations between these characteristics. By applying a data-driven approach, this study utilizes a content analysis method to analyze photos of Olympic gold medalists on Instagram. In this vein, male gold medalists show a monotonously positive relationship between their following/follower ratio and the engagement/follower ratio. Also, the ratio of self-presentation turned out to have a solid monotonous negative relationship with age in both male and female gold medalists, which even takes a linear form in men. In line with the related theories and literature, these findings can help athletes manage and grow their brand on social media.

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Funding

The study was partially funded by City University of Hong Kong Centre for Communication Research (No. 9360120) and Hong Kong Institute of Data Science (No. 9360163).

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Authors and Affiliations

  1. Department of Media and Communication, City University of Hong Kong, Hong Kong, Hong Kong

    Amirhosein Bodaghi & Jonathan J. H. Zhu

Authors
  1. Amirhosein Bodaghi
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  2. Jonathan J. H. Zhu
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Correspondence to Amirhosein Bodaghi .

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Editors and Affiliations

  1. Dean (R&D), CARE College of Engineering, Trichy, India

    A. Pasumpon Pandian

  2. Department of Electrical and Computer Engineering, Ryerson Communications Lab, Toronto, ON, Canada

    Xavier Fernando

  3. Go Perception Laboratory, Cornell University, Ithaca, NY, USA

    Wang Haoxiang

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Bodaghi, A., Zhu, J.J.H. (2022). The Olympic Gold Medalists on Instagram: A Data Mining Approach to Study User Characteristics. In: Pandian, A.P., Fernando, X., Haoxiang, W. (eds) Computer Networks, Big Data and IoT. Lecture Notes on Data Engineering and Communications Technologies, vol 117. Springer, Singapore. https://doi.org/10.1007/978-981-19-0898-9_58

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  • DOI: https://doi.org/10.1007/978-981-19-0898-9_58

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-0897-2

  • Online ISBN: 978-981-19-0898-9

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