Predictors and Social Consequences of Online Interactive Self-Disclosure: A Literature Review from 2002 to 2014
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Computer-mediated communication has become ubiquitous in the lives of today's youth. The current review synthesizes recent findings regarding adolescents' and young adults' online interactive self-disclosure, with a particular emphasis on the direct antecedents and effects. Three broad categories of predictors are discussed, including demographic information and internal states, dispositional factors, as well as contextual factors. In addition, the synthesis of studies exploring consequences of online interactive self-disclosure indicates positive outcomes for social-related constructs. The article concludes with recommendations for future research, including the analysis of actual computer-mediated exchanges and longitudinal research that takes into account the dynamic process of self-disclosure over time and across media.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it