Dog and cat owners’ use of online Facebook groups for pet health information
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
BACKGROUND: Facebook is a frequently used social media platform and is often used for human health information, yet little research has been conducted on how pet owners use Facebook pet groups to obtain and share pet health information. METHOD: This study was designed to assess how pet owners use dog and cat Facebook groups to provide and receive pet health advice and their perception of these groups' trustworthiness. Two comparable questionnaires (dog and cat owners) were developed and distributed through an online survey platform. RESULTS: Results suggest that Facebook groups are a common source of pet health information, with 56.2% of dog owners and 51.8% of cat owners reporting receiving health information through Facebook groups. Similar numbers report giving health information through Facebook groups: 55.0% of dog owners and 57.9% of cat owners. Dog health information most commonly exchanged related to dermatology, gastroenterology and orthopaedics and the most common cat health information focused on gastroenterology, renal and urinary-related issues. While the majority of Facebook users report feeling that Facebook groups are not a trustworthy source of pet health information, a substantial minority of users do appear to be influenced by these groups. CONCLUSION: Approximately 50% of cat and dog owning respondents either give or receive pet health advice through Facebook groups. These results suggest that many owners deem Facebook groups as useful, but not entirely trustworthy, sources of information.
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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 | 0.000 | 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 | 0.000 |
| 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