Threats to belonging on Facebook: Lurking and ostracism
Open accessPublished version of a preprint
Abstract
We examined two threats to belonging and related needs on Facebook: lurking (Study 1) and ostracism (Study 2). In Study 1, participants were either allowed or not allowed to share information on Facebook for 48 hours. Those who were not allowed to share information had lower levels of belonging and meaningful existence. In Study 2, participants engaged in a laboratory-based Facebook activity. Half of the profiles were set up so that participants would not receive any feedback on their status updates. Participants who did not receive feedback on their updates had lower levels of belonging, self-esteem, control, and meaningful existence. Together, these findings indicate that a lack of information sharing and feedback can threaten belonging needs.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
Individuals engage more in passive Facebook use than in active Facebook use.
“Studies have shown that individuals engage more in such passive Facebook use or 'the monitoring of other people's lives by viewing the content of others' profiles without direct exchanges between the users' (Frison & Eggermont, 2015, p. 4), than in active Facebook use (Pempek, Yermolayeva, & Calvert, 2009; Tobin, Vanman, Verreynne, & Saeri, 2014; Verduyn et al., 2015).”
From The reciprocal and indirect relationships between passive Facebook use, comparison on Facebook, and adolescents' body dissatisfaction (2017) · cites this paper as Tobin et al., 2014
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
The citation lists haven’t been fetched yet
References 24 · Cited by 171
Research works printed but not linked: 1
- Burke, M. (2011). Reading, writing, relationships: The impact of social network sites on relationships and well-being (Unpublished doctoral dissertation). Carnegie Mellon University, Pittsburgh, PA .
- Authors
- Tobin, S. J., Vanman, E. J., Verreynne, M., & Saeri, A. K.
- Affiliations
- The University of Queensland (AU)
- Corresponding author
- Tobin, Stephanie J.
- Venue
- Social Influence
- Publisher
- Informa UK Limited
- Published
- 2014-03-07
- Volume
- 10
- Issue
- 1
- Pages
- 31-42
- ISSN
- 1553-4510 (ISSN-L)
- 1553-4529
- OpenAlex
- W2051637474
- Cited by
- 171
- References
- 24
- Citations by year
- 2026: 8 · 2025: 10 · 2024: 10 · 2023: 14 · 2022: 18 · 2021: 16 · 2020: 20 · 2019: 14 · 2018: 18 · 2017: 15 · 2016: 12 · 2015: 12 · 2014: 4
- FWCI
- 21.27
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Social Influence (publishedVersion)
- QUT ePrints (Queensland University of Technology) (submittedVersion)
- Research Bank (Australian Catholic University) (submittedVersion)
- PsyArXiv (OSF Preprints) (submittedVersion, cc-by)
- PsyArXiv (OSF Preprints) (submittedVersion)
- Topics
- Social Sciences › Psychology › Social Psychology › Death Anxiety and Social Exclusion
- Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
- Social Sciences › Psychology › Social Psychology › Bullying, Victimization, and Aggression
- Keywords
- Facebook, sense of belonging, lurking, ostracism, information sharing, social feedback, meaningful life, self-esteem, social control, social media
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