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Record W2790897661 · doi:10.1177/0093650218758084

The Effect of Politicians’ Personality on Their Media Visibility

2018· article· en· W2790897661 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

VenueCommunication Research · 2018
Typearticle
Languageen
FieldArts and Humanities
TopicMedia Influence and Health
Canadian institutionsUniversity of Toronto
FundersEuropean Research Council
KeywordsVisibilityExtraversion and introversionAgreeablenessSocial psychologyBig Five personality traitsPersonalityPsychologyPoliticsInterpersonal communicationCompetition (biology)Political science

Abstract

fetched live from OpenAlex

While being frequently covered in the news media is key to political success, previous research demonstrates that some politicians are systematically more visible in the media than others. The current study advances our understanding of which politicians gain higher media visibility by exploring the effects of their personality traits. Utilizing a unique sample of 339 incumbent politicians in three countries, we find that the two personality traits that speak directly to one’s interpersonal orientation—agreeableness and extraversion—affect visibility, with less agreeable and more extraverted politicians appearing more frequently in the news. We also find that open to experience and emotionally stable politicians get covered more frequently and that being highly conscientious predicts media visibility in some cases, but not in others. Politicians high on these traits, we argue, enjoy an inherent advantage in the competition for the media’s attention.

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)0.007
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScience and technology studies
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 score0.860
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0070.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0020.002
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.268
GPT teacher head0.461
Teacher spread0.193 · 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