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Record W3012527526 · doi:10.1057/s41599-020-0418-3

Framing economic inequality in the news in Canada and the United States

2020· article· en· W3012527526 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePalgrave Communications · 2020
Typearticle
Languageen
FieldSocial Sciences
TopicSocial Media and Politics
Canadian institutionsUniversity of Toronto
FundersUniversity of Toronto MississaugaUniversity of Toronto
KeywordsFraming (construction)InequalityNews mediaNewspaperPolitical sciencePoliticsEconomic inequalitySocial inequalityFraming effectPublic opinionSociologyPositive economicsPublic relationsEconomicsLawGeography

Abstract

fetched live from OpenAlex

Abstract News frames are the interpretations and emphases in the presentation of complex issues that privilege certain understandings over others. We take the case of the framing of economic inequality in the news in order to make an empirical contribution and a conceptual contribution. The framing of economic inequality in news coverage is important to understand as news frames can shape public opinion and subsequently policy responses to inequality. There is no research we are aware of that documents how economic inequality is framed in the news. We compiled a dataset of 2109 news articles, published between 2000 and 2014, about economic inequality, and conducted a detailed content analysis. Empirically, we document how inequality was framed as an issue, specifically whether it was framed as a social problem with negative consequences, and what its causes, consequences, and solutions were. Conceptually, we also address an important gap in knowledge about the determinants of news frames. Research about how news frames are shaped by contextual factors in the production of news is uncertain about which factors matter and to what extent. The dataset has a set of features that allow us to simultaneously examine a number of potential determinants of news frames. Our data allow us to compare the relative influences on news coverage of economic inequality of (1) national context, (2) the political leaning of newspapers, (3) changing economic conditions, and (4) social movement efforts. Of these four factors, we find that only the Occupy movement influenced the volume of attention and the identification of economic inequality as a problem with negative consequences. National context, political leaning, and change in economic conditions had much more limited, or no, influence. Following the emergence of the Occupy movement, attention to economic inequality increased and remained higher than before. However, despite the clear effects of the Occupy movement on problem identification, news coverage of the causes and solutions to economic inequality did not significantly shift. We, therefore, find that social movement activity had the clearest influence on news frames, but the observed effect in this case was superficial rather than detailed.

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)0.000
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: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.400
Threshold uncertainty score0.232

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.084
GPT teacher head0.339
Teacher spread0.256 · 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