Media exposure and the engaged citizen: How the media shape political participation
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
Media exposure is widely known to increase institutional forms of political participation such as voting. Less well understood is whether media exposure also affects protest, a less institutional form of engagement. This paper examines the mechanics through which this relationship operates by considering the media's direct and indirect effect on voting and protesting, via political trust, efficacy, and knowledge. We make these comparisons by analyzing the unique Jennings panel dataset that collects information on respondents at three separate points. The results show that media exposure affects voting more than protesting and that these relationships operate through different mechanisms. While media exposure leads to voting because it increases political knowledge, it is associated with protest via external political efficacy. Furthermore, while this relationship is causal for voting it is only correlational for protest. The results illustrate the importance of disentangling forms of political engagement when considering media effects.
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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 | 0.018 | 0.024 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.017 | 0.013 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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