How public interactions via WeChat moments predict the emotional well-being of Chinese seniors and emerging seniors: The moderating roles of perceived self-network discrepancy and age
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Published:2021-08-24
Issue:3
Volume:15
Page:
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ISSN:1802-7962
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Container-title:Cyberpsychology: Journal of Psychosocial Research on Cyberspace
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language:
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Short-container-title:Cyberpsychology
Author:
Rui Jian R.,Cui Xi,Xu Qian,Yu Nan
Abstract
The present study examined how engaging in public interactions via WeChat Moments (i.e., interactions all WeChat contacts can access) was related to the emotional well-being of Chinese seniors and emerging seniors (50 years or older). Results of an online survey (N = 506) demonstrated that perceived educational self-network discrepancy of WeChat network moderated the relationship between public interactions and emotional well-being such that only at a high level of perceived educational self-network discrepancy public interactions exhibited a significant negative relationship with emotional well-being. Additionally, the interaction between public interactions and perceived educational/social class self-network discrepancy on emotional well-being was further moderated by the participants’ age. Specifically, the relationship between public interactions and emotional well-being was only significant and negative at high levels of perceived educational/social class self-network discrepancy among older Chinese seniors and emerging seniors, whereas this relationship was not significant at any level of perceived educational/social class self-network discrepancy among their younger counterparts. This study develops the scholarship on social networking services and well-being by suggesting that the responses one receives from their online network can have a critical impact on their well-being and provides implications about extending socioemotional selectivity theory.
Publisher
Masaryk University Press
Subject
General Psychology,Social Sciences (miscellaneous),Communication,Information Systems,Pathology and Forensic Medicine
Reference68 articles.
1. An, J., Kwak, H., Posegga, O., & Jungherr, A. (2019). Political discussions in homogeneous and cross-cutting communication spaces. In Proceedings of the 13th International AAAI Conference on Web and Social Media (pp. 68-79). AAAI. https://ojs.aaai.org//index.php/ICWSM/article/view/3210/3078/ 2. Bail, C. A., Argyle, L. P., Brown, T. W., Bumpus, J. P., Chen, H., Hunzaker, M. B. F., Lee, J., Mann, M., Merhout, F., & Volfovsky, A. (2018). Exposure to opposing views on social media can increase political polarization. PNAS, 115(37), 9216-9221. https://doi.org/10.1073/pnas.1804840115 3. Bayer, J., Ellison, N., Schoenebeck, S., Brady, E., & Falk, E. B. (2018). Facebook in context(s): Measuring emotional responses across time and space. New Media & Society, 20(3), 1047-1067. https://doi.org/10.1177/1461444816681522 4. Bazarova, N. N., Choi, Y. H., Sosik, V. S., Cosley, D., & Whitlock, J. (2015). Social sharing of emotions on Facebook: Channel differences, satisfaction, and replies. In Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing - CSCW' 15 (pp. 154-164). ACM. https://doi.org/10.1145/2675133.2675297 5. Bergkvist, L. (2015). Appropriate use of single-item measures is here to stay. Marketing Letters, 26(3), 245-255. https://doi.org/10.1007/s11002-014-9325-y
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