Affective and cognitive underpinnings of moral condemnation when news of transgressions goes viral.
Bibliographic record
Abstract
= 3,939) test our model. Participants rated corporate transgressions to which they had or had not been repeatedly exposed from three sources (news outlets or individuals). Experiments 1 and 2 measured affective reactions, infamy inferences, and moral judgments, finding mediational support for our model. In Experiment 2 and two supplemental experiments, repetition reduced moral condemnation, suggesting that affective desensitization was the dominant process. Experiment 3 was designed to strengthen the infamy process by highlighting over a million negative reactions to each repeatedly seen transgression; consistent with our model, repetition no longer reduced moral condemnation but continued to dull affective reactions, suggesting that affective-desensitization and infamy-inference processes offset one another. By documenting these countervailing processes, our research deepens understanding of when, why, and how viral transgressions may impact public opinion and moral outrage. (PsycInfo Database Record (c) 2025 APA, all rights reserved).
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".