Cited by 5Impact of Technology on AdolescentsTechnology Use by Older AdultsMedia and Digital Communication

The DOI matches its Crossref record; 47 of the 47 references it cites were found in a registry or an index.

Gender and age-specific use of social media

Vogelzang, Jody L.·2023·Effective Use of Social Media in Public Health

Overview

Integrity signals

Registry

Crossref · 10.1016/b978-0-323-95630-7.00001-9

Cites

47 of 47 references verified0 citation errors · 0 not checkable

Statistics

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

Verification

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

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?

Citations

Cites

1 retracted

Flagged first, then by citations

Research works printed but not linked: 1

  1. Wartella, 2018, Digital media use by young children: Learning, effects, and health outcomes, Child and Adolescent Psychiatry and the Media, 173

Cited by

Sorted by citations

Metadata

Authors
Vogelzang, J. L.
Affiliations
Grand Valley State University (US)
Corresponding author
Vogelzang, Jody L.
Venue
Effective Use of Social Media in Public Health
Publisher
Elsevier
Published
2023
Pages
23-42
OpenAlex
W4378695702
Cited by
3
References
47
Citations by year
2025: 2 · 2024: 1
FWCI
7.25
Type
book chapter
Language
en
Open access
closed
Locations
Elsevier eBooks (publishedVersion)
Topics
  • Social Sciences › Sociology and Political Science › Impact of Technology on Adolescents
  • Health Sciences › Medicine › Geriatrics and Gerontology › Technology Use by Older Adults
  • Social Sciences › Communication › Media and Digital Communication
Keywords
social media use, gender differences, age differences, youth mental health, social media influencers, trolling, older adults, COVID-19 pandemic, social interaction, entertainment use

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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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