Social Media Use and Consumption Culture: Evidence from a Cross-Sectional Survey and Machine Learning Approach of College Students

Xinzhu Pu; Yanning Wang; Zichuan Huang; Zhe Zhang

doi:10.2991/978-94-6463-064-0_40

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Social Media Use and Consumption Culture: Evidence from a Cross-Sectional Survey and Machine Learning Approach of College Students

Authors

Xinzhu Pu¹^{, 2}, Yanning Wang³, Zichuan Huang⁴, Zhe Zhang¹^{, *}

¹School of Humanities and Law, North China University of Technology, Beijing, China

²Graduate School of Humanities and Social Sciences, Hiroshima University, Hiroshima, Japan

³School of Economics and Management, North China University of Technology, Beijing, China

⁴School of Information, North China University of Technology, Beijing, China

^*Corresponding author. Email: zhangzhe@ncut.edu.cn

Corresponding Author

Zhe Zhang

Available Online 27 December 2022.

DOI: 10.2991/978-94-6463-064-0_40 How to use a DOI?
Keywords: consumption culture; social media use; cross-sectional survey; machine learning
Abstract: As an essential information tool for daily lives, social media has profoundly affected the consumption of college students. However, no study has investigated the mechanism. This paper bridges the gap by testing a dual mediation path model in a sample of undergraduate students (N = 713), and using machine learning to explore the relationship between social media use, upward social comparison, self-disclosure and consumption culture. As predicted, upward social comparison and self-disclosure, both independent and serially, mediated the positive association between social media use and consumption culture.
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title: Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)
Series: Atlantis Highlights in Computer Sciences
Publication Date: 27 December 2022
ISBN: 10.2991/978-94-6463-064-0_40
ISSN: 2589-4900
DOI: 10.2991/978-94-6463-064-0_40 How to use a DOI?
Open Access: Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

ris enw bib

TY  - CONF
AU  - Xinzhu Pu
AU  - Yanning Wang
AU  - Zichuan Huang
AU  - Zhe Zhang
PY  - 2022
DA  - 2022/12/27
TI  - Social Media Use and Consumption Culture: Evidence from a Cross-Sectional Survey and Machine Learning Approach of College Students
BT  - Proceedings of the 2022 3rd International Conference on Big Data and Social Sciences (ICBDSS 2022)
PB  - Atlantis Press
SP  - 372
EP  - 378
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-064-0_40
DO  - 10.2991/978-94-6463-064-0_40
ID  - Pu2022
ER  -

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