Corrupting the Cyber-Commons: Social Media as a Tool of Autocratic Stability
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
Non-democratic regimes have increasingly moved beyond merely suppressing online discourse, and are shifting toward proactively subverting and co-opting social media for their own purposes. Namely, social media is increasingly being used to undermine the opposition, to shape the contours of public discussion, and to cheaply gather information about falsified public preferences. Social media is thus becoming not merely an obstacle to autocratic rule but another potential tool of regime durability. I lay out four mechanisms that link social media co-optation to autocratic resilience: 1) counter-mobilization, 2) discourse framing, 3) preference divulgence, and 4) elite coordination. I then detail the recent use of these tactics in mixed and autocratic regimes, with a particular focus on Russia, China, and the Middle East. This rapid evolution of government social media strategies has critical consequences for the future of electoral democracy and state-society relations.
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 | 0.013 |
| 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 | 0.002 |
| Scholarly communication | 0.000 | 0.000 |
| 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