Self-disclosure in online social networks: An empirical study of location-based check-ins and impression management

被引:0
|
作者
Vaghefi, Mahyar Sharif [1 ]
Nazareth, Derek L. [2 ]
Nerur, Sridhar P. [1 ]
Chen, Kay-Yut [1 ]
机构
[1] Univ Texas Arlington, Coll Business Adm, Dept Informat Syst & Operat Management, Arlington, TX 76019 USA
[2] Univ Wisconsin Milwaukee, Lubar Coll Business, Milwaukee, WI 53201 USA
关键词
Health-related lifestyle; Impression management; Location sharing; Observational learning; Self-disclosure; MEDIA; INFORMATION;
D O I
10.1016/j.im.2024.104017
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Leveraging online networks like Twitter and Foursquare, our study explores the dynamics of self-disclosure and impression management through location sharing. Grounded in social and hyperpersonal information processing theories, we investigate how peer influence, geographical proximity, and exposure to promotional content impact self-disclosure behaviors. Through an integrated dataset, we determine that friends' check-ins and their physical proximities significantly sway individual self-disclosure. Particularly, in the presence of healthconscious peers, users tend to avoid check-ins that create a negative health impression. Furthermore, exposure to health-related promotional content significantly influences these behaviors. Our findings provide crucial perspectives on impression management in the digital age.
引用
收藏
页数:16
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