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Record W2898534870 · doi:10.1177/0093650218808186

Twenty Years of Digital Media Effects on Civic and Political Participation

2018· article· en· W2898534870 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueCommunication Research · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Media and Politics
Canadian institutionsMacEwan University
FundersMacEwan University
KeywordsGlobePoliticsSocial mediaSurvey data collectionCivic engagementPolitical communicationSociologySpace (punctuation)Digital mediaPeriod (music)Social sciencePolitical sciencePublic relationsPsychologyStatistics

Abstract

fetched live from OpenAlex

More than 300 studies have been published on the relationship between digital media and engagement in civic and political life. With such a vast body of research, it is difficult to see the big picture of how this relationship has evolved across time and across the globe. This article offers unique insights into how this relationship manifests across time and space, using a meta-analysis of existing research. This approach enables an analysis of a 20-year period, covering 50 countries and including survey data from more than 300,000 respondents. While the relationship may vary cross-nationally, the major story is the trend data. The trend data show a pattern of small, positive average coefficients turning into substantial, positive coefficients. These larger coefficients may be explained by the diffusion of this technology across the masses and changes in the types of use, particularly the rise of social networking sites and tools for online political participation.

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)0.006
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.538
Threshold uncertainty score0.685

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.006
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 science0.0000.000
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 head0.181
GPT teacher head0.509
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