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Record W2163019483 · doi:10.1177/1940161213519132

May We Have Your Attention Please? Human-Rights NGOs and the Problem of Global Communication

2014· article· en· W2163019483 on OpenAlex
A. Trevor Thrall, Dominik Stecuła, Diana Sweet

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

VenueThe International Journal of Press/Politics · 2014
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Media and Politics
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMainstreamDemocratizationHuman rightsPolitical scienceThe InternetPublic relationsPoliticsSocial mediaDemocracyLawComputer science

Abstract

fetched live from OpenAlex

Historically, nongovernmental organizations (NGOs) have relied on mainstream news media to expose human-rights violations and encourage governments to pressure the perpetrators. Thanks to the Internet, NGOs are crafting new strategies for conducting information politics. Despite the obvious democratization of access to the means of communication, however, the new media may in fact represent a more challenging environment in which to be heard for some groups seeking global attention. We draw on agenda-setting research to develop a theory of global attention bottlenecks and use it to explain the success of 257 transnational human-rights groups at generating attention in both international mainstream news media and social media outlets. We conclude that most NGOs lack the organizational resources to compete effectively for either traditional news coverage or for public attention and that the Internet is unlikely to resolve the problem of global communication.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: Theoretical or conceptual
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.144
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.045
GPT teacher head0.373
Teacher spread0.328 · 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