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

Amirhosein Bodaghi; Jonathan J. H. Zhu

doi:10.1007/978-981-19-0898-9_58

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

Amirhosein Bodaghi^*, Jonathan J. H. Zhu

^*Corresponding author for this work

Department of Media and Communication

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

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.

Original language	English
Title of host publication	Computer Networks, Big Data and IoT
Subtitle of host publication	Proceedings of ICCBI 2021
Editors	A. Pasumpon Pandian, Xavier Fernando, Haoxiang Wang
Place of Publication	Singapore
Publisher	Springer
Pages	761-773
ISBN (Electronic)	978-981-19-0898-9
ISBN (Print)	978-981-19-0897-2
DOIs	https://doi.org/10.1007/978-981-19-0898-9_58
Publication status	Published - 2022
Event	4th International Conference on Computer Networks, Big Data and IoT (ICCBI 2021) - Online Duration: 9 Dec 2021 → 10 Dec 2021 http://icocbi.com/2021/index.html

Publication series

Name	Lecture Notes on Data Engineering and Communications Technologies
Volume	117
ISSN (Print)	2367-4512
ISSN (Electronic)	2367-4520

Conference

Conference	4th International Conference on Computer Networks, Big Data and IoT (ICCBI 2021)
Period	9/12/21 → 10/12/21
Internet address	http://icocbi.com/2021/index.html

Research Keywords

Data mining
Gold medalists
Instagram
Olympic
Self-presenting
User characteristics

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10.1007/978-981-19-0898-9_58

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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 A. P. Pandian, X. Fernando, & H. Wang (Eds.), Computer Networks, Big Data and IoT: Proceedings of ICCBI 2021 (pp. 761-773). (Lecture Notes on Data Engineering and Communications Technologies; Vol. 117). Springer . https://doi.org/10.1007/978-981-19-0898-9_58

Bodaghi, Amirhosein ; Zhu, Jonathan J. H. / The Olympic Gold Medalists on Instagram : A Data Mining Approach to Study User Characteristics. Computer Networks, Big Data and IoT: Proceedings of ICCBI 2021. editor / A. Pasumpon Pandian ; Xavier Fernando ; Haoxiang Wang. Singapore : Springer , 2022. pp. 761-773 (Lecture Notes on Data Engineering and Communications Technologies).

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title = "The Olympic Gold Medalists on Instagram: A Data Mining Approach to Study User Characteristics",

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.",

keywords = "Data mining, Gold medalists, Instagram, Olympic, Self-presenting, User characteristics",

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editor = "Pandian, {A. Pasumpon} and Xavier Fernando and Haoxiang Wang",

booktitle = "Computer Networks, Big Data and IoT",

note = "4th International Conference on Computer Networks, Big Data and IoT (ICCBI 2021) ; Conference date: 09-12-2021 Through 10-12-2021",

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Bodaghi, A & Zhu, JJH 2022, The Olympic Gold Medalists on Instagram: A Data Mining Approach to Study User Characteristics. in AP Pandian, X Fernando & H Wang (eds), Computer Networks, Big Data and IoT: Proceedings of ICCBI 2021. Lecture Notes on Data Engineering and Communications Technologies, vol. 117, Springer , Singapore, pp. 761-773, 4th International Conference on Computer Networks, Big Data and IoT (ICCBI 2021), 9/12/21. https://doi.org/10.1007/978-981-19-0898-9_58

The Olympic Gold Medalists on Instagram: A Data Mining Approach to Study User Characteristics. / Bodaghi, Amirhosein; Zhu, Jonathan J. H.
Computer Networks, Big Data and IoT: Proceedings of ICCBI 2021. ed. / A. Pasumpon Pandian; Xavier Fernando; Haoxiang Wang. Singapore: Springer , 2022. p. 761-773 (Lecture Notes on Data Engineering and Communications Technologies; Vol. 117).

Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review

TY - GEN

T1 - The Olympic Gold Medalists on Instagram

T2 - 4th International Conference on Computer Networks, Big Data and IoT (ICCBI 2021)

AU - Bodaghi, Amirhosein

AU - Zhu, Jonathan J. H.

PY - 2022

Y1 - 2022

N2 - 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.

AB - 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.

KW - Data mining

KW - Gold medalists

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KW - Olympic

KW - Self-presenting

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DO - 10.1007/978-981-19-0898-9_58

M3 - RGC 32 - Refereed conference paper (with host publication)

SN - 978-981-19-0897-2

T3 - Lecture Notes on Data Engineering and Communications Technologies

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BT - Computer Networks, Big Data and IoT

A2 - Pandian, A. Pasumpon

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PB - Springer

CY - Singapore

Y2 - 9 December 2021 through 10 December 2021

ER -

Bodaghi A, Zhu JJH. The Olympic Gold Medalists on Instagram: A Data Mining Approach to Study User Characteristics. In Pandian AP, Fernando X, Wang H, editors, Computer Networks, Big Data and IoT: Proceedings of ICCBI 2021. Singapore: Springer . 2022. p. 761-773. (Lecture Notes on Data Engineering and Communications Technologies). Epub 2022 May 22. doi: 10.1007/978-981-19-0898-9_58

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

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