The Effects of Social Anxiety and Online Privacy Concern on Individual Differences in Internet-Based Interaction Anxiety and Communication Preferences
Bibliographic record
Abstract
Social anxiety (SA) and online privacy concerns (OPCs) are conceptually distinct fears, but both may be activated by Internet-based social contexts. Whereas SA is focused on being the object of interpersonal evaluation, OPC is focused on preventing others from gaining unauthorized access to private personal information. No research to date has investigated how SA and OPCs may uniquely or interactively predict individual differences in online interaction anxiety or attitudes and preferences about online communication. Participants (N = 374) completed the Social Phobia Inventory and measures of OPCs, online interaction anxiety, and attitudes related to online communication. The results revealed that SA and OPCs were not correlated with one another; however, they each uniquely predicted significant variance in particular outcomes, with no interactive effects. Findings help to illuminate the ways in which online communication preferences may be differentially shaped by people's levels of SA and OPCs, respectively. Theoretical implications and applications are discussed.
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How this classification was reachedexpand
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 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".