Situating privacy online: Complex perception and everyday practices
Bibliographic record
Abstract
Media and research reports point to the issue of privacy as being key to understanding online behaviors and experiences. However, it is well recognised within privacy advocacy circles that “privacy ” is a loose concept encompassing a variety of meanings. In this paper we view privacy as mediating individuals and their online activities and not standing above them, being constantly redefined in actual practice. As such it is necessary to ask what individuals are reacting to when asked about online privacy and how it affects their online experience. Based on data generated in the Everyday Internet study, an ethnographic project being conducted in Toronto, Canada, we further propose that there are three organizing “moments ” of online privacy perceptions: the moment of sitting in front of the computer, the moment of the interactions with it, and the moment after the data has been released in “cyberspace”. We argue that while the third has been given much coverage, mainly through surveillance—Big Brother style—reporting, the other two moments have not been sufficiently researched something which may be crippling the formulation of effective privacy principles and practices within the public at large.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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 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".