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Record W2086860722 · doi:10.1017/s1537592714003120

Corrupting the Cyber-Commons: Social Media as a Tool of Autocratic Stability

2015· article· en· W2086860722 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenuePerspectives on Politics · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Media and Politics
Canadian institutionsUniversity of Toronto
FundersUniversity of Cambridge
KeywordsAutocracySocial mediaPolitical sciencePolitical economyFraming (construction)Public sphereEliteCommonsDemocracyAuthoritarianismSociologyEconomic systemLawPoliticsEconomics

Abstract

fetched live from OpenAlex

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.013
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.409
Threshold uncertainty score0.995

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.013
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.086
GPT teacher head0.368
Teacher spread0.282 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it