Political Leaning and Coverage Sentiment: Are Conservative Newspapers More Negative Toward Women?*
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.
Bibliographic record
Abstract
Objectives This article examines whether newspapers’ political leaning affects coverage tone for individuals in the news and whether the gender of the person covered affects this relationship. Methods I analyze sentiment data on millions of person‐names from more than 200 major American newspapers between the years 2004 and 2009, juxtaposing them with various measurements for the political leaning of these newspapers. Results Results show mixed support for the idea that political leaning in the media affects coverage patterns for individuals in the news. While newspapers located in states that are more likely to vote for Republicans cover women in a more negative way, I find no relationship between political leaning scores and coverage sentiment for men. Conclusions The study shows mild support for the proposition that relatively liberal newspapers are more likely to cover women and women's issues in a positive way.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.003 | 0.011 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it