Media-generated Shortcuts: Do Newspaper Headlines Present Another Roadblock for Low-information Rationality?
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
This article identifies news headlines as media-generated shortcuts for heuristic information about politics. Functionally speaking, headlines are simplifying mechanisms that summarize and attract attention to what lies ahead (or below). Although previous research has demonstrated potentially powerful framing effects of headlines, comparatively little is known about the relationship actual news headlines have with the stories they introduce. This study aims to contribute to this area of research by comparing with their stories the content of newspaper headlines about the 2004 Canadian federal election campaign.The data set has been developed from a content analysis of news, opinion, and editorial articles about the election, drawn from five major Canadian daily newspapers during the campaign. Headlines and full-text stories both have been separately coded for emphasis (campaign oriented vs. issue oriented), party coverage, leader coverage, issues, and tone.The analysis shows a considerable difference between articles and their headlines in terms of emphasis and issue salience. It also demonstrates how the tone of election coverage appeared to change when viewed exclusively through the prism of the headlines versus the lens of full stories. Hence, voters who scanned headlines were supplied with a different set of heuristic cues than those paying closer 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 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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| 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