Shaping the Body Politic: Mass Media Fat-Shaming Affects Implicit Anti-Fat Attitudes
Bibliographic record
Abstract
The human psyche is profoundly shaped by its cultural milieu; however, few studies have examined the dynamics of cultural influence in everyday life, especially when it comes to shaping people’s automatic, implicit attitudes. In this quasi-experimental field study, we investigated the effect of transient, but salient, cultural messages—the pop-cultural phenomenon of celebrity “fat-shaming”—on implicit anti-fat attitudes in the population. Adopting the “copycat suicide” methodology, we identified 20 fat-shaming events in the media; next, we obtained data from Project Implicit of participants who had completed the Weight Implicit Association Test from 2004 to 2015. As predicted, fat-shaming led to a spike in women’s (N=93,239) implicit anti-fat attitudes, with events of greater notoriety producing greater spikes. We also observed a general increase in implicit anti-fat attitudes over time. Although these passing comments may appear harmless, we show that feedback at the cultural level can be registered by the “body politic.”
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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 | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 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".