A Cross‐National Analysis of the Causes and Consequences of Economic News
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
Objective Work on economic news argues that U.S. coverage focuses primarily on changes rather than levels of future economic conditions; it also both affects and reflects public economic sentiment. Given that economic perceptions are related to policy preferences and government support, this is of consequence for politics. This article explores the generalizability of these findings. Methods Using nearly 100,000 stories over 30 years in the United States, the United Kingdom, and Canada, we compare media tone, public opinion, and economic conditions. Result Analyses demonstrate that media tone and public opinion follow future economic change in all three countries. Media and opinion are also related, but the effect mostly runs from the public to the media, not the other way around. Conclusion These results confirm the generalizability of prior findings, and the importance of considering more than a simple unidirectional link between media coverage and public economic sentiment.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.013 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 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