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The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

Affective, Behavioral, and Cognitive Aspects of Teen Perspectives on Personal Data in Social Media: A Model of Youth Data Literacy

Chi, Yu, Jeng, Wei, Acker, Amelia, Bowler, Leanne·2018·Lecture Notes in Computer Science

Overview

Integrity signals

Registry

Crossref · 10.1007/978-3-319-78105-1_49

Cites

11 of 11 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

Show all 11 references

Research works printed but not linked: 1

  1. Madden, M., Lenhart, A., Cortesi, S., Gasser, U., Duggan, M., Smith, A., Beaton, M.: Teens, social media, and privacy. Pew Res. Center 21, 2–86 (2013)

Cited by

See all 24

Metadata

Authors
Chi, Y., Jeng, W., Acker, A., & Bowler, L.
Affiliations
  • University of Pittsburgh (US)
  • National Taiwan University (TW)
  • The University of Texas at Austin (US)
Corresponding author
Jeng, Wei
Venue
Lecture Notes in Computer Science
Published
2018
Pages
442-452
ISSN
  • 0302-9743 (ISSN-L)
  • 1611-3349
OpenAlex
W2794181803
Cited by
24
References
11
Citations by year
2026: 1 · 2025: 2 · 2024: 3 · 2023: 9 · 2022: 4 · 2021: 4 · 2019: 1
FWCI
3.81
Type
conference paper
Language
en
Open access
closed
Locations
  • Lecture notes in computer science (publishedVersion)
  • D-Scholarship@Pitt (University of Pittsburgh) (acceptedVersion)
Topics
  • Social Sciences › Sociology and Political Science › Privacy, Security, and Data Protection
  • Social Sciences › Education › Literacy, Media, and Education
  • Social Sciences › Library and Information Sciences › Library Science and Information Literacy
Keywords
social media, personal data, data privacy, affective states, behavioral state, cognitive states, ABC model, adolescents, library services for teens

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 ›

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How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Affective, Behavioral, and Cognitive Aspects of Teen Perspectives on Personal Data in Social Media: A Model of Youth Data Literacy. https://app.cochat.ai/papers/10.1007/978-3-319-78105-1_49
The paper
Chi, Y., Jeng, W., Acker, A., & Bowler, L. (2018). Affective, Behavioral, and Cognitive Aspects of Teen Perspectives on Personal Data in Social Media: A Model of Youth Data Literacy. Lecture Notes in Computer Science. https://doi.org/10.1007/978-3-319-78105-1_49

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.