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

Amirhosein Bodaghi, Jonathan J. H. Zhu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


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 cyber character 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 languageEnglish
Title of host publicationComputer Networks, Big Data and IoT
EditorsFatos Xhafa
Number of pages13
ISBN (Electronic)978-981-19-0898-9
ISBN (Print)978-981-19-0897-2
Publication statusPublished (in print/issue) - 22 May 2022

Publication series

NameLecture Notes on Data Engineering and Communications Technologies
ISSN (Print)2367-4512
ISSN (Electronic)2367-4520


Dive into the research topics of 'The Olympic Gold Medalists on Instagram: A Data Mining Approach to Study User Characteristics'. Together they form a unique fingerprint.

Cite this