Characterization of health science popularization rumors based on the data from rumor refutation platforms in 2024
收藏中国科学数据2026-04-02 更新2026-04-25 收录
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https://www.sciengine.com/AA/doi/10.11847/zgggws1147532
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Objective To analyze the dissemination patterns and textual features of health science popularization rumors, establishing a foundation for the development of rumor mitigation and control mechanisms. MethodsA content analysis was conducted on a sample of 348 health-related rumors published in August 2024 by People's Daily Online, China Science Communication, and the China Internet Joint Rumor Debunking Platform. Rumor themes, emotional valence, involved stakeholders, and linguistic tone were systematically coded and statistically evaluated by chi-square tests to assess distributional differences across platforms. ResultsPredominant themes included healthy lifestyles (35.34%), disease prevention and control (34.49%), and food safety issues (30.17%), with no significant variation in theme distribution among platforms (P > 0.05). Negative emotional contents accounted for 55.75%, exhibiting significant inter-platform differences (P P > 0.05). The dominant linguistic structures were declarative sentences (41.95%) and interrogative sentences (33.33%), with notable differences in distribution across platforms (P ConclusionsHealth science popularization rumors demonstrate strong links to public health concerns, notable emotional valence, targeted dissemination strategies, and diverse linguistic approaches. Strengthening surveillance, early warning systems, and cross-platform collaboration is essential for enhancing public health literacy and preventing rumor proliferation at the source.
创建时间:
2026-04-02



