The Reciprocal Relationship Between Passive Social Networking Site (SNS) Usage and Users’ Subjective Well-Being
Bibliographic Data
| ID | 12170652 |
|---|---|
| Authors | Jin-Liang Wang (0000-0002-7424-1777, Southwest University, corresponding author), Julia Gaskin (0000-0002-2812-2419, Brigham Young University), Detlef H Rost (0000-0002-7460-7679, Southwest University), Douglas A Gentile (0000-0002-5934-2860, Iowa State University) |
| Year | 2017 |
| Volume | 36 |
| Issue | 5 |
| Pages | 511-522 |
| Publication date | 2017-07-27 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Social Science Computer Review (JOURNAL) |
| Journal identifiers | ISSN: 0894-4393 • E-ISSN: 1552-8286 |
| Publisher | SAGE Publishing (PUBLISHER • US) |
| DOI | 10.1177/0894439317721981 |
| OpenAlex | W2739659911 |
| Language | EN |
| Citations received | 48 |
| References cited | 54 |
Prior studies have found an inconclusive relationship between social networking site (SNS) usage and users’ subjective well-being. Passive SNS usage may be detrimental to subjective well-being, because it cannot provide social support and may evoke envy and jealousy. Conversely, it is also possible that lower subjective well-being may predict higher passive SNS usage, which can be used as a means to relieve stress. To examine this reciprocal process, a two-wave study among a sample of Chinese college students was conducted ( N = 350 at Time 1, 265 at Time 2). Data were analyzed with structural modeling. Cross-lagged analysis indicated that passive SNS usage at Time 1 predicted a decrease in subjective well-being at Time 2. Lower subjective well-being at Time 1 also predicted an increase in passive SNS usage at Time 2. These findings deepen our understanding of the complicated association between SNS usage and well-being and has implications for how to help individuals use SNS healthily
Association (psychology · Happiness · Jealousy · Reciprocal · Sample (material · Structural equation modeling · Subjective well-being · Applied Psychology · Computer Science · Digital Mental Health Interventions · Impact of Technology on Adolescents · Media Influence and Health · Psychology · Social Psychology
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| Unique citing works | 48 |
|---|---|
| Citations per year | 6,86 |
| Citation span | 2019 - 2026 (8) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 48 |