Does Skepticism Predict News Media Literacy: A Study on Turkish Young Adults
Bibliographic record
Abstract
The 2010’s are when information and informatics age coexist, information overload has been transformed into a mass engineering tool, “imposing bombardment” has become the norm. The most influential tool of this cultural-industrial act is news media. Efforts to educate young adults, who are most active in touch with information, in view of news media are needed. Skepticism has the potential to improve news media literacy of young adults. The present study investigates whether young adults’ skepticism levels predict young adults’ news media literacy levels. The research problem was analyzed with correlational research model. Two different research populations (Canakkale Onsekiz Mart University and Ataturk University) were determined for the purpose of the study. The results revealed positive, moderate, significant relationships between skepticism levels and news media literacy of young adults. “Self-determining” and “interpersonal understanding” competences - the components of skepticism - have a positive effect on news media literacy. The “search for knowledge” and “questioning mind” has the potential to positively affect news media literacy.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".