Taiwanese Adolescents’ Self-Disclosures on Private Section of Facebook, Trusts in and Intimacy with Friends in Different Close Relationships
Bibliographic record
Abstract
The study investigates self-disclosure by adolescents in Taiwan on the private section of Facebook, and their trust in, and intimacy with, Facebook friends in different close relationships. This study further determines the predictors of intimate self-disclosure that are mediated by trust in Facebook friends. In total, 1370 Taiwanese adolescents, via stratified random cluster sampling, filled out the validated questionnaire between March and May 2013. One-way repeated measures analysis of variance and structural equation modeling were applied to analyze data on self-disclosure, intimacy, and trust, respectively, among five levels of Facebook friends. The study demonstrates that as the closeness of friends’ increases, the amount of self-disclosure, intimacy, and trust increases. Additionally, the level of self-disclosure can predict the level of intimacy with Facebook friends. Adolescents’ trust in friends in close relationships may strengthen the development of intimacy; however, there is no such reaction in the group of unfamiliar Facebook friends.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".