Beyond Television: Children's Engagement with Online Food and Beverage Marketing
Bibliographic record
Abstract
Background Food and beverage marketing has been implicated in the childhood obesity “pandemic.” Prior studies have established the negative impact of television advertising on children's dietary intake, yet few have considered the role of online food and beverage marketing, particularly within the Canadian context. Objective This study explores children's engagement in online marketing and investigates the potential impact on their dietary intake. Methods Participants were recruited from the Ryerson University Summer Day Camp to participate in a single one-on-one semi-structured interview. Results A total of 83 children (age 7 to 13 years; mean 9.99 years; 56.3% boys, 43.8% girls) participated in the study. Fewer children thought that there is food, drink, or candy advertising on the internet (67.7%) than on television (98.8%) (p > 0.001). Awareness of online marketing increased with age: 7 to 8 year olds (23.67%; 4), 9 to 10 years (63.89%; 23), 11 to 12 years (86.96%; 20); 13 years (100%; 9). Over one-third of children had visited a website after seeing the address advertised on television (n = 32; 38.55%) or on product package (n = 29; 34.94%). Conclusions Branded internet sites, commonly featured on television and product packaging, offer new opportunities for marketers to reach children with messages promoting commercial food and beverage items. These websites are subsequently spread via word-of-mouth through children's peer networks. The independent impact of web-based food, drink and candy marketing, as well as the synergistic effect of multi-channel product promotion, on children's dietary intake merits further investigation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 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 | 0.000 | 0.000 |
| 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".