Young Adults’ Perceptions of Online Self-Disclosure
Bibliographic record
Abstract
Online communication has become the primary instrument utilised by many individuals to maintain and form relationships, and self-disclosure plays an important role in the formation of close relationships online. An extensive amount of research has investigated the experiences of adolescents online. However, available knowledge about the influence of social media on young adults within the South African context is limited. Consequently, exploring young adults’ perceptions of online self-disclosure becomes more relevant. The aim of this study was to explore and describe young adults’ perceptions of online self-disclosure, specifically exploring what young adults’ self-disclose online and what psychosocial factors impact thereupon. The present study utilised a qualitative approach and was exploratory and descriptive in design. The sample size of the present study was 13, and semi-structured interviews were utilised as the method of data collection. The data obtained was analysed using thematic analysis and six main themes were identified. This article highlights one of those themes, namely Online Self-disclosure, focusing specifically on the psychosocial factors impacting upon online self-disclosure.
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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 | 0.004 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".