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Research Articles

Effects of Social Media Self-Efficacy on Informational Use, Loneliness, and Self-Esteem of Older Adults

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Pages 1121-1133 | Received 16 Jul 2021, Accepted 01 Apr 2022, Published online: 11 May 2022
 

Abstract

Social media is convenient for older adults to obtain and share information (i.e., informational use). However, a major barrier to using social media for older adults is their relatively low social media self-efficacy. The effects of this on informational use and mental well-being have not been well studied. Therefore, this study surveyed 276 older Chinese adults aged 60–90 and constructed a structural equation model. We found that higher social media self-efficacy was strongly and directly associated with more informational use, less loneliness, and higher self-esteem. It also positively affected happiness, mediated by loneliness and self-esteem. Informational use decreased loneliness but did not significantly affect self-esteem. We explained these results by the moderation effects of age and social media self-efficacy. This study confirmed the urgency of increasing older adults’ social media self-efficacy for their mental well-being and successful aging. We also outlined design implications for increasing social media self-efficacy.

Acknowledgements

We thank all those who participated.

Notes

Additional information

Funding

This study was supported by the China Postdoctoral Science Foundation [No.2020M670362].

Notes on contributors

Yue Chen

Yue Chen is an assistant professor in the School of Art Design and Media, East China University of Science and Technology. She received her PhD degree from Tsinghua University and worked with Qin Gao as a postdoctoral researcher. Her research interests include human factors, human-computer interaction, and social media.

Qin Gao

Qin Gao is currently an associate professor in the Department of Industrial Engineering at Tsinghua University, Beijing, China. She received her PhD from Tsinghua University. Her primary research interests include user-centered design, cognitive ergonomics, human-computer interaction, and decision making.

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