Regulating Speech in Cyberspace: Gatekeepers, Human Rights and Corporate Responsibility
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
Private companies exert considerable control over the flow of information on the internet. Whether users are finding information with a search engine, communicating on a social networking site or accessing the internet through an ISP, access to participation can be blocked, channelled, edited or personalised. Such gatekeepers are powerful forces in facilitating or hindering freedom of expression online. This is problematic for a human rights system which has historically treated human rights as a government responsibility, and this is compounded by the largely light-touch regulatory approach to the internet in the west. Regulating Speech in Cyberspace explores how these gatekeepers operate at the intersection of three fields of study: regulation (more broadly, law), corporate social responsibility and human rights. It proposes an alternative corporate governance model for speech regulation, one that acts as a template for the increasingly common use of non-state-based models of governance for human rights
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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