European Data Protection Regulation and Online New Media: Mind the Enforcement Gap
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
Data Protection Authorities (DPAs) play a critical role in shaping and applying the regulation applicable to online media expression within the European Economic Area. Drawing on seven ubiquitous types of online new media actors, a comprehensive survey of these authorities was undertaken. It found that European DPAs generally adopt an expansive interpretation of data protection and a constrained understanding of freedom of expression in this space. In contrast, data protection enforcement is weak and lacking in harmonization. Except for street mapping services, each type of online media actor had only faced relevant enforcement action from a minority of these agencies. DPA financial resourcing is very limited. Notwithstanding the development of DPA ‘network governance’, only DPAs with a particularly extensive interpretative stance proved likely to have engaged in extensive enforcement activity. It remains unclear what difference the General Data Protection Regulation will make to resolving this enforcement gap and its related problems.
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 | 0.002 | 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 | 0.000 | 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