Socially Interactive and Passive Technologies Enhance Friendship Quality: An Investigation of the Mediating Roles of Online and Offline Self-Disclosure
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
Previous studies indicate that characteristics of social-based technologies (STs) stimulate the sharing of intimate information online, which in turn enhances the quality of friendships. In addition, intimate online self-disclosure has been positively associated with offline self-disclosure. One objective of the current study was to combine the literature and test a model which postulates that STs use stimulates online self-disclosure which facilitates offline self-disclosure and, thereby, enhances the quality of close friendships. A second objective of this study was to examine if the aforementioned model applies to two categories of STs, including socially interactive technologies (SITs; e.g., instant messaging) and socially passive technologies (SPTs; e.g., reading posts on social networking sites). An online survey was conducted with 212 young adults between 18 and 25 years of age. The proposed indirect positive effects of SITs and SPTs use on the quality of friendships were supported. The positive effect of SITs use on the quality of friendships was explained entirely by the young adults' disclosure of personal information when using SITs which facilitated intimate self-disclosure during face-to-face interactions. Although there was not a direct effect of SPTs use on the quality of friendships, SPTs use was positively related to SPTs self-disclosure, which had a positive effect on offline self-disclosure. The current study enhances our understanding regarding the positive effects associated with the use of STs among close friends and identifies the contribution of online self-disclosure for offline interactions.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.004 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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