The impact of reading a web site's privacy statement on perceived control over privacy and perceived trust
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
Purpose The purpose of this research is to study the impact of reading a web site's privacy statement on the perceptions of control over privacy and trust in a cyber merchant. Design/methodology/approach Two experiments were designed to monitor the actual reading of the privacy statement. Study one compares the influence of actual reading with self‐reported claims. Study two manipulated the format of the privacy statement (opt‐in or opt‐out) and included a control condition to assess the influence of the presence of a privacy statement and the influence of the format on the dependent variables. Findings The findings show that the mere presence of a privacy statement has a positive influence on perceived control. However, reading the privacy statement does not necessarily have a positive influence on perceived control and trust, contrary to commonly held assumptions. Participants who read the opt‐in format felt significantly more control and trust than the participants who read the opt‐out format. The opt‐out format decreases perceived control compared with the group that did not read the privacy statement when it was available. Research limitations/implications The sample size for both experiments was relatively modest, which limits the generalisability of the findings. Practical implications Cyber merchants should devote particular attention to the strategic role of the format of the privacy statement. Originality/value In contrast to other studies that relied on surveys, this paper assesses the impact of the actual reading of the privacy statement via an experimental approach. Moreover, the impact of the format of the privacy statement has been empirically tested.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.003 | 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 | 0.000 | 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 it