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Record W2146427553 · doi:10.1177/1948550611408619

Hey Mom, What’s on Your Facebook? Comparing Facebook Disclosure and Privacy in Adolescents and Adults

2011· article· en· W2146427553 on OpenAlexaff
Emily Christofides, Amy Muise, Serge Desmarais

Bibliographic record

VenueSocial Psychological and Personality Science · 2011
Typearticle
Languageen
FieldSocial Sciences
TopicImpact of Technology on Adolescents
Canadian institutionsUniversity of Guelph
Fundersnot available
KeywordsPsychologySelf-disclosurePerceptionSocial psychologyYoung adultInternet privacyDevelopmental psychology

Abstract

fetched live from OpenAlex

People of all ages are increasingly exposed to online environments that encourage them to share and connect with others. However, there is a perception that adolescents are particularly susceptible to these cues and share more online than do other age groups. With a group of 288 adolescents and 285 adults, we explored differences and similarities in use of Facebook for information sharing and use of the controls to protect their privacy. Adolescents reported disclosing more information on Facebook and using the privacy settings less than adults. Despite these differences, the results indicated that adolescents and adults were more similar than different in the factors that predicted information disclosure and control. Adolescents spent more time on Facebook, which partially mediated the relationship between group (adolescents vs. adults) and disclosure. Self-esteem partially mediated the relationship between group and information control, with adults having higher self-esteem than adolescents.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.147
GPT teacher head0.387
Teacher spread0.240 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations204
Published2011
Admission routes1
Has abstractyes

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