Measuring the Impact of Product Placement on Children Using Digital Brand Integration
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
Recent marketing literature has called for more research that focuses on the influence of new media on children and, specifically, the use of product placement. The objective of this study was to analyze the impact of food and beverage product placements on children of different ages. Using an experimental approach, groups of children viewed the same television program, but with either healthy products or unhealthy brands digitally inserted. A detailed survey then measured aided and unaided recall and immediate choice behavior. In total, 225 children from two schools took part in the experiment. The results indicated strong recall for the products placed, especially for the unhealthy products, and particularly among older children. However, the placements had only a modest influence on immediate behavior, with regression analysis suggesting that the packaging was more significant in influencing choice. Theoretical and practical implications are discussed.
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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 | 0.005 | 0.017 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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