Generation Z och förtroendekrisen - en studie om mediemisstro hos unga
Bibliographic record
Abstract
Aim of thesis: The aim of the study is to investigate how young adolescents aged 16 to 29 argues and motivates a distrust in the traditional news media.\n\nTheoretical framework: Institutional trust, Dunning Kruger effect, Uses and gratification, Confirmation bias.\n\nMethods: Qualitative focus groups interviews consisting of teenagers aged 16 to 19 enrolled in high school programmes in Västerås, Sweden.\n\nResults: The results of the study showed that a distrust in the traditional news media was motivated by a general knowledge that the media is controlled by other forces in society in contrast to the one of being an objective mirror of world events. Powers of the market, censorship and propaganda are mentioned as well as the media having their own political agenda. An awareness of one’s own inability to fully determine what is true or not also affect the level of distrust. The respondents further discuss how the consequences on trust of spreading fake news depends on the motive of the source. A few of the mentioned factors that increase the distrust towards the media are mainly exaggerated and angled news as well as having a history of spreading false news.
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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.000 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.010 | 0.002 |
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".