‘Uppity civilians’ and ‘cyber-vigilantes’: The role of the general public in policing cyber-crime
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
The distributed nature of the Internet requires that security issues be addressed through collaborative efforts within and across various sets of public and private actors. Drawing on nodal governance theory, this article explores one aspect of the role that the general public can and does play in the field of cyber-security: civilian policing of the Internet. In particular, we examine the motives and actions of regular citizens, who use their computer skills to identify, track and collect information on the activities of suspected criminal offenders. Whereas some groups use such information to engage in vigilante acts, the groups that we study work cooperatively with police, collecting information to pass onto criminal justice agencies. We suggest that these collectives and their members are a potentially useful, if under-valued, component of cyber-security networks.
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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 | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.001 |
| 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