Background Ovarian cancer is one of the most common and lethal gynecological malignancies, with high mortality rates due to late-stage diagnoses and frequent recurrence. Despite its significant global health impact, public awareness of ovarian cancer remains low, contributing to delayed diagnosis and treatment. The rapid rise of short-video platforms, such as TikTok, Rednote, and WeChat, presents an opportunity to enhance public knowledge and early detection of ovarian cancer. Method This study analyzed ovarian cancer-related videos from TikTok, Rednote, and WeChat using two validated quality assessment tools: the Global Quality Scale (GQS) and the modified DISCERN (mDISCERN) tool. A total of 220 videos were examined for content quality, thematic coverage, and engagement metrics. The videos were categorized into themes such as epidemiology, etiology, symptoms, diagnosis, treatment, complications, and maintenance therapy. Additionally, user comments were analyzed to assess public sentiment toward the videos. The study also examined the correlation between video quality and audience engagement. Results Videos on TikTok demonstrated the highest quality in terms of accuracy and engagement, followed by Rednote, with WeChat videos showing the lowest quality. A significant gap was observed in the coverage of critical topics such as complications and maintenance therapy, with many videos providing only partial information. Specialist-created videos scored higher in quality compared to those created by non-specialists and individual users. Moreover, higher-quality videos were associated with greater audience engagement, including more likes, shares, comments, and collections. Positive sentiment in user comments was most strongly correlated with videos focusing on treatment and maintenance therapy. Conclusion This study reveals significant quality variation in ovarian cancer videos across Chinese platforms. To enhance public health communication, content accuracy must improve, with a focus on professional creators and key topics like complications and maintenance therapy.
Zhou et al. (2026) studied this question.