Risk and the Media: A Comparison of Print and Televised News Stories of a Canadian Drinking Water Risk Event
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 explores the utility of using media analyses as a method for risk researchers to gain an initial understanding of how the public may perceive a risk issue or event based on how it is presented and communicated in news media stories. In the area of risk research, newspapers consistently provide coverage of both acute and chronic risk events, whereas televised news broadcasts report primarily acute risk events. There is no consensus in the literature about which news format (print vs. televised) may be better to study public conceptualizations of risk, or if one format (e.g., print) may be used as a surrogate measure for another format (e.g., televised). This study compares Canadian national televised and newspaper coverage of the same risk event: the E. coli contamination of a public drinking water supply. Using a content analysis, this study empirically demonstrates the overall similarity in story content coverage in both televised and print coverage, noting that televised coverage promotes primarily emotional story themes while print coverage tends to also include coverage of analysis and process. On this basis, the research draws two conclusions: 1) given its more comprehensive coverage, newspaper broadsheets may provide a better measure of media coverage of a risk event than televised coverage (if only one format can be studied); and 2) when the risk area of interest is chronic, and/or if the scale of analysis is at a community/local level (i.e., when it is unlikely that archived televised coverage is available), then a researcher may find the print media to be a more useful format to study.
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 | 0.003 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| 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