Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 397

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Defining and measuring youth digital citizenship

Jones, Lisa M, Mitchell, Kimberly J·2016·New Media & Society

Abstract

There is an increasing interest in improving youth digital citizenship through education. However, the term ‘digital citizenship’ currently covers a broad range of goals. To improve education, the current article argues for a narrower focus on (1) respectful behavior online and (2) online civic engagement. Using this definition, a digital citizenship scale was developed and assessed with a sample of 979 youth, aged 11–17 years, and confirmatory factor analyses (CFAs) supported measurement of both constructs: online respect (7 items, Cronbach’s α = .92) and online civic engagement (4 items, Cronbach’s α = .70). Online respect scores decreased with youth age, and scores on both subscales were higher among girls than boys. Both online respect and civic engagement were negatively related to online harassment perpetration and positively related to helpful bystander behaviors, after controlling for other variables. Implications of the study findings for developing and evaluating digital citizenship educational programs are discussed.

Overview

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1177/1461444815577797

Cites

7 of 7 references verified0 citation errors · 0 not checkable

Statistics

Verification

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.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 7 references

Cited by

Metadata

Authors
Jones, L. M., & Mitchell, K. J.
Venue
New Media & Society
Published
2016-07-09
Volume
18
Issue
9
Pages
2063-2079
ISSN
  • 1461-4448 (ISSN-L)
  • 1461-7315
OpenAlex
W2034804400
Cited by
397
References
7
FWCI
136.39
Type
journal article
Language
en
Open access
closed

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

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.