Civic and political volunteering: the mobilizing role of websites and social media in four countries
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 study examines the role of digital media in civic and political engagement, specifically the respective roles of websites vs. social media in relation to volunteering. The study uses four-country (United States, United Kingdom, France, and Canada) survey data collected in 2019 and 2021 (n = 12,359). For both types of volunteering, we find that organizations’ websites are more strongly correlated with volunteering compared to following organizations on social media. We replicate this finding across multiple countries, two types of analysis, and volunteering for civic and political organizations. Our findings suggest that the informational role of websites is of greater importance than the creation of quasi-membership ties inherent to social media when it comes to mobilizing volunteers. However, engaging in both online activities has the strongest relationship with volunteering, suggesting a need for multi-method communication strategy. This finding is important with respect to developing communication strategies in civic and political groups.
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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 | 0.001 | 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 | 0.000 | 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