Privacy and control in online social profiles: Toward a typology of users
Bibliographic record
Abstract
ABSTRACT This poster uses Q methodology to investigate subjective perspectives on privacy of and control over social network profiles. Earlier research using interview and focus group techniques suggests that the default conception of online social networks is as public spaces where there is little or no expectation of control over content or distribution. This conception, however, applies largely to information posted by others, and participants frame their own online participation in different ways. The current study explicitly investigates these different subjective perspectives. The results suggest three different user profiles or privacy orientations: one group views their online profiles as spaces for social display, but exert control over content and audience; a second group treats their profiles as spaces for open social display, exercising little control over either content or audience; and a third group views social network profiles as places to post personal information to a controlled audience. These different perspectives lead to different privacy needs and expectations.
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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 | 0.018 | 0.031 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.006 | 0.004 |
| Science and technology studies | 0.005 | 0.015 |
| Scholarly communication | 0.011 | 0.015 |
| Open science | 0.001 | 0.007 |
| Research integrity | 0.002 | 0.002 |
| 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".