Cited by 83Impact of Technology on AdolescentsMedia and Digital CommunicationMental Health via Writing

Why do people post and read personal messages in public? The motivation of using personal blogs and its effects on users’ loneliness, belonging, and well-being

Jung, Younbo, Song, Hayeon, Vorderer, Peter·2012·Computers in Human Behavior

Integrity signals

Registry

Crossref · 10.1016/j.chb.2012.04.001

Cites

54 of 54 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

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Claims other papers make about this one

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Cites

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1 of the 55 references couldn’t be matched to a known paper.

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Authors
Jung, Y., Song, H., & Vorderer, P.
Affiliations
  • Nanyang Technological University (SG)
  • University of Wisconsin–Milwaukee (US)
  • University of Mannheim (DE)
Corresponding author
Jung, Younbo
Venue
Computers in Human Behavior
Publisher
Elsevier BV
Published
2012-09
Volume
28
Issue
5
Pages
1626-1633
ISSN
0747-5632 (ISSN-L)
OpenAlex
W2050555782
Cited by
83
References
55
Citations by year
2026: 5 · 2025: 4 · 2024: 7 · 2023: 6 · 2022: 8 · 2021: 9 · 2020: 6 · 2019: 4 · 2018: 6 · 2017: 10 · 2016: 5 · 2015: 5 · 2014: 5 · 2013: 3
FWCI
13.71
Type
journal article
Language
en
Open access
closed
Locations
  • Computers in Human Behavior (publishedVersion)
  • DR-NTU (Nanyang Technological University) (submittedVersion)
  • MADOC (University of Mannheim) (submittedVersion)
Topics
  • Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
  • Physical Sciences › Computer Science › Computer Networks and Communications › Media and Digital Communication
  • Social Sciences › Psychology › Social Psychology › Mental Health via Writing
Keywords
personal blogs, blogging motivations, impression management, social support, loneliness, sense of belonging, subjective well-being, social networking sites, Cyworld

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.

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