Proceedings of the 2024 4th International Conference on Social Development and Media Communication (SDMC 2024)

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How Do Technical Recommendability Work on Users’ Excessive Social Media Use Behavior?

Authors
Shufan Wang1, *
1Department of Arts, University of Jinan, Jinan, Shandong, China
*Corresponding author. Email: Shufan_wang1129@outlook.com
Corresponding Author
Shufan Wang
Available Online 17 December 2024.
DOI
10.2991/978-2-38476-327-6_5How to use a DOI?
Keywords
technology affordance; excessive use behavior; systematic cognitive model; information value; loss of control
Abstract

Excessive social media use behavior has profoundly influenced people’s living habits. Starting from social media’s technical recommendability, based on Affordance theory and SOR model, this study put forwards a research framework of "recommendability - information value and loss of control - excessive use behavior". In addition, this paper investigates the moderating roles of users' systematic cognitive model. Our empirical results showed that the recommendability of social media is positively correlated with users' excessive use behavior. Furthermore, information value and loss of control play mediating roles in the relationship between the them. Meanwhile, users' systematic cognitive model has different moderating effects on the roles of recommendability on information value and loss of control. This study gains an in-depth understanding of how social media recommendability influences users' excessive use behavior. Also, it has some significance for social media platform development and managing users’ behavior.

Copyright
© 2024 The Author(s)
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 2024 4th International Conference on Social Development and Media Communication (SDMC 2024)
Series
Advances in Social Science, Education and Humanities Research
Publication Date
17 December 2024
ISBN
978-2-38476-327-6
ISSN
2352-5398
DOI
10.2991/978-2-38476-327-6_5How to use a DOI?
Copyright
© 2024 The Author(s)
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

risenwbib
TY  - CONF
AU  - Shufan Wang
PY  - 2024
DA  - 2024/12/17
TI  - How Do Technical Recommendability Work on Users’ Excessive Social Media Use Behavior?
BT  - Proceedings of the 2024 4th International Conference on Social Development and Media Communication (SDMC 2024)
PB  - Atlantis Press
SP  - 40
EP  - 48
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-327-6_5
DO  - 10.2991/978-2-38476-327-6_5
ID  - Wang2024
ER  -