Negativity Biases and Political Ideology: A Comparative Test across 17 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
There is a considerable body of work across the social sciences suggesting negativity biases in human attentiveness and decision-making. Recent research suggests that individual variation in negativity biases is correlated with political ideology: persons who have stronger physiological reactions to negative stimuli, this work argues, hold more conservative attitudes. However, such results have mostly been encountered in the United States. Does the link between psychophysiological negativity biases and political ideology apply elsewhere? We answer this question with the most extensive cross-national psychophysiological study to date. Respondents across 17 countries and six continents were exposed to negative and positive televised news reports and static images. Sensors tracked participants’ skin conductance, and a survey captured their left–right political orientation. Analyses performed at three levels of aggregation—respondent-as-a-case, stimuli-as-a-case, and second-by-second time-series—fail to find strong support for the link between negativity biases and political ideology.
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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 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.031 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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