The Impact of Exposure to Thin Ideal Celebrities on Young Women's Mood and Body Image
Bibliographic record
Abstract
The previous studies have consistently shown that the media’s promotion of the thin ideal negatively impacts women’s body image and mood. This experimental study examined the effects of Instagram images of thin-ideal versus higher-weight celebrities on young women’s mood, body image, and state appearance comparison. A purposive sample of 176 university students (Mage = 20.43, SD = 1.87) was selected, with half exposed to 15 thin-ideal celebrity images (experimental group) and half to 15 higher-weight celebrity images (comparison group). Assessments used the Visual Analog Scale (Heinberg & Thompson, 1995) and the State Appearance Comparison Scale (Tiggemann & McGill, 2004). Findings demonstrated that thin-ideal celebrity images led to more negative mood, lower body satisfaction, and increased state appearance comparison. State appearance comparison partially mediated the relationship between exposure and both mood and body image. These results highlight the psychological effects of exposure to thin-ideal celebrity images among young women.
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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 | 0.000 | 0.001 |
| 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 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".