INTERNATIONAL TV NEWS, FOREIGN AFFAIRS INTEREST AND PUBLIC KNOWLEDGE
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
Abstract This article investigates the volume of foreign news provided by public service and commercial TV channels in countries with different media systems, and how this corresponds to the public's interest in and knowledge of foreign affairs. We use content analyses of television newscasts and public opinion surveys in 11 countries across five continents to provide new insight into the supply and demand for international television news. We find that (1) more market-oriented media systems and broadcasters are less devoted to international news, and (2) the international news offered by these commercial broadcasters more often focuses on soft rather than hard news. Furthermore, our results suggest that the foreign news offered by the main TV channels is quite limited in scope, and mainly driven by a combination of national interest and geographic proximity. In sum, our study demonstrates some limitations of foreign news coverage, but results also point to its importance: there is a positive relationship between the amount of hard international news coverage and citizens' level of foreign affairs knowledge. Keywords: commercial televisionforeign affairsinformation environmentinternational newsmedia systemsnews interestpublic broadcastingpublic knowledge ACKNOWLEDGEMENTS This work was supported by a number of funding agencies, including: Aalberg, the Research Council of Norway; Papathanassopoulos, UoA Special Account for Research Grants and the Hellenic Secretariat of the Media; Soroka, the Social Sciences and Humanities Research Council of Canada; Curran, the Economic and Social Research Council, UK; Hayashi, the Japan Society for the Promotion of Science; Iyengar, the National Research Foundation of Korea Grant funded by the Korean Government.
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 | 0.000 | 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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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