Prawda czy fałsz w polityce informacyjnej? Wiarygodność telewizyjnych newsów a opinie polskich widzów w pierwszym kwartale pandemii COVID-19
Bibliographic record
Abstract
The authors studied the opinions of a randomly selected group of 100 respondents on the subject of policy of Polish and English language television services broadcasted at the very beginning of the COVID-19 pandemic. An anonymous online survey asked respondents about the accuracy and reliability of the information, with the goal of understanding of how much respondents were aware of the influence of all news on their political views and attitude. Media content analysis, critical analysis of literature, as well as comparative and statistical methods were analysed in conjunction with the responses to provide a wider context. The authors were also interested in learning: 1) if people would choose the same TV station, 2) their approval rating of the incumbent president, and finally, 3) whether their preferences would be in line with the official ranking data. The authors concluded that the respondents’ recognition of the credibility of the new sources facilitated the formation of political views, and in the process, their choices.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".