Effects of Social Media Self-Efficacy on Informational Use, Loneliness, and Self-Esteem of Older Adults
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.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Social media usage such as informational uses increases people's self-esteem.
“social media usage like for informational uses was found to increase people’s self-esteem [28]”
From How social media usage affects psychological and subjective well-being: testing a moderated mediation model (2023) · cites this paper as [28]
The citation lists haven’t been fetched yet
References 95 · Cited by 70
- Authors
- Chen, Y., & Gao, Q.
- Affiliations
- East China University of Science and Technology (CN)
- Tsinghua University (CN)
- Corresponding author
- Gao, Qin
- Venue
- International Journal of Human–Computer Interaction
- Publisher
- Informa UK Limited
- Published
- 2022-05-11
- Volume
- 39
- Issue
- 5
- Pages
- 1121-1133
- ISSN
- 1044-7318 (ISSN-L)
- 1532-7590
- OpenAlex
- W4280616642
- Cited by
- 70
- References
- 95
- Citations by year
- 2026: 10 · 2025: 22 · 2024: 18 · 2023: 19 · 2022: 1
- FWCI
- 25.03
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- International Journal of Human-Computer Interaction (publishedVersion)
- Funders
- China Postdoctoral Science Foundation (62)
- Topics
- Social Sciences › Demography › Technology Use by Older Adults
- Social Sciences › Psychology › Neuropsychology and Physiological Psychology › Aging and Gerontology Research
- Health Sciences › Health Professions › General Health Professions › Aging, Elder Care, and Social Issues
- Keywords
- older adults, loneliness, self-esteem, happiness, psychological well-being, successful aging, age differences, Chinese older adults
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review