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Record W4416128576 · doi:10.1002/ejsp.70035

Judgements of Propaganda Near and Far: National Identity and Media Evaluations

2025· article· en· W4416128576 on OpenAlexaffabout
Rebecca Joy Dunk, Ronda F. Lo, Raymond A. Mar

Bibliographic record

VenueEuropean Journal of Social Psychology · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicSocial and Intergroup Psychology
Canadian institutionsToronto Metropolitan UniversityYork University
Fundersnot available
KeywordsModerationNational identityGovernment (linguistics)PerceptionIdentity (music)Media biasForeign policy

Abstract

fetched live from OpenAlex

ABSTRACT Western media often critiques foreign governments for their propaganda efforts while ignoring similar efforts by their own government. We predicted that individuals would demonstrate a similar bias. An experiment with 282 Canadian participants revealed just the opposite: when asked overtly, participants judged a video attributed to their own government to be more like propaganda than identical foreign media. When asked covertly (e.g., about the video's bias), we observed no effect, and national identity was not a moderator for Canadians. In a direct replication, Americans ( N = 457) also judged domestic videos as more like propaganda than foreign ones, whether perceptions of propaganda were measured overtly or covertly. This difference was especially true of those lower and average in national identity, compared to those higher. A follow‐up study demonstrated that Americans ( N = 380) who are left‐leaning are more likely to show this bias against domestic media, compared to those who are centrist or right‐leaning. These studies demonstrate that people can be more critical of their own government's messaging relative to the same messaging by a foreign power, the opposite of holding a self‐serving double standard.

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.

How this classification was reachedexpand

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.829
Threshold uncertainty score0.367

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
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 head0.078
GPT teacher head0.456
Teacher spread0.379 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

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