@inproceedings{446932b27d6e4aa0a2a3dfde12f0db28,
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 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.",
author = "Amirhosein Bodaghi and Zhu, {Jonathan J. H.}",
year = "2022",
month = may,
day = "22",
doi = "10.1007/978-981-19-0898-9_58",
language = "English",
isbn = "978-981-19-0897-2",
series = "Lecture Notes on Data Engineering and Communications Technologies",
publisher = "SPRINGER LINK",
pages = "761–773",
editor = "Fatos Xhafa",
booktitle = "Computer Networks, Big Data and IoT",
}
