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Record W2892006734 · doi:10.3386/w18164

Do Newspapers Serve the State? Incumbent Party Influence on the US Press, 1869-1928

2012· preprint· en· W2892006734 on OpenAlexfundno aff
Matthew Gentzkow, Nathan Petek, Jesse M. Shapiro, Michael Sinkinson

Bibliographic record

VenueNational Bureau of Economic Research · 2012
Typepreprint
Languageen
FieldSocial Sciences
TopicMedia Influence and Politics
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of CanadaUniversity of ChicagoBooth School of Business, University of ChicagoNeubauer Family FoundationEwing Marion Kauffman FoundationNational Science Foundation
KeywordsNewspaperRegression discontinuity designLegislatureExploitPoliticsState (computer science)DemocracyPolitical economyPower (physics)Political scienceControl (management)Public administrationEconomicsLawComputer securityComputer scienceStatistics

Abstract

fetched live from OpenAlex

Using data from 1869 to 1928, we estimate the effect of party control of state governments on the entry, exit, circulation, prices, number of pages, and content of Republican and Democratic daily newspapers. We exploit changes over time in party control of the governorship and state legislatures in a differences-indifferences design. We exploit close gubernatorial elections and state legislatures with small majorities in a parallel regression-discontinuity design. Neither method reveals evidence that the party in power affects the partisan composition of the press. Our confidence intervals rule out modest effects, and we find little evidence of incumbent party influence even in times and places with high political stakes or low commercial stakes. The one exception is the Reconstruction South, an episode that we discuss in detail.

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)0.010
metaresearch head score (Gemma)0.003
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 score0.331
Threshold uncertainty score0.961

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.003
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 science0.0020.001
Research integrity0.0000.001
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 head0.377
GPT teacher head0.528
Teacher spread0.150 · 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 designTheoretical or conceptual
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

Citations8
Published2012
Admission routes1
Has abstractyes

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