On TikTok and Bilibili, videos about heart attacks that get the most likes and shares are not necessarily more accurate or informative than videos with fewer interactions — popularity doesn’t mean quality.
Evidence from Studies
Supporting (1)
Community contributions welcome
Quality and reliability assessment of myocardial infarction short videos on Bilibili and TikTok: A cross-sectional study
Just because a heart attack video gets lots of likes and shares doesn’t mean it’s accurate or helpful — the study found that the most popular videos weren’t the most trustworthy ones.
Contradicting (0)
Community contributions welcome
Score Breakdown
No multi-axis breakdown available yet. The overall Pro / Against score above is the best signal.
- No clinical evidence is available; the score reflects mechanistic plausibility only.
What Would Prove This
Per GRADE and EBM methodology, here is what ideal scientific evidence would look like to definitively prove or disprove this claim, ordered from strongest to weakest.
Whether altering algorithmic ranking to prioritize high-quality videos over high-engagement videos leads to improved public knowledge or health behaviors.
A randomized controlled trial where 10,000 users are assigned to two algorithm versions: one prioritizing high-engagement MI videos, another prioritizing high-quality (GQS >4) MI videos, with primary outcomes being changes in MI knowledge scores and self-reported preventive behaviors after 6 months.
Whether individuals who primarily consume high-engagement MI videos have worse long-term health outcomes than those who consume high-quality videos, independent of baseline knowledge.
A prospective cohort study tracking 5,000 adults who consume MI-related short videos, classifying them by exposure to high-engagement vs. high-quality content (via platform data), and measuring 3-year outcomes: cardiac event rates, medication adherence, and emergency department visits for chest pain.
Whether individuals who delayed seeking care for MI symptoms were more likely to have been exposed to high-engagement, low-quality videos compared to those who sought timely care.
A case-control study comparing 200 MI patients with delayed care (>2 hours) to 200 with timely care (<1 hour), analyzing their recent video exposure history for engagement levels and quality scores, using platform data and structured interviews.
Whether the most popular MI videos on TikTok and Bilibili consistently have lower quality scores than less popular ones.
A cross-sectional analysis of 500 MI-related videos ranked by engagement (likes, shares) and quality (GQS, mDISCERN), testing for monotonic association using Spearman correlation, replicated across multiple time points.
Anecdotal evidence that a single high-engagement, low-quality MI video led to public misunderstanding of symptoms.
A case series of 10 viral MI videos with low quality scores (GQS <2) and high engagement (>100k likes), documenting public comments expressing misinformation or delayed care intentions.