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Using dynamic topic modeling on 245,022 COVID\u201019\u2010related social media posts from Chinese provincial governments (2019\u20132022), we identify three interpretive dimensions: economy, livelihood, and administration. Results indicate administration received the greatest attention. Regression analysis reveals that emphasizing the administration dimension significantly reduced monthly confirmed COVID\u201019 cases, while economy and livelihood dimensions showed no significant effects. Findings suggest strategically highlighting administrative competence enhances governance outcomes by reinforcing legitimacy and accountability to citizens and central authorities. Theoretically, the study elucidates how institutional incentives shape crisis framing strategies that, in turn, influence governance performance. Practically, it shows that aligning communication dimensions with crisis phases and institutional priorities improves response performance and offers transferable insights for structured crisis governance. Methodologically, it demonstrates the value of dynamic topic modeling for capturing temporal shifts in crisis communication.<\/jats:p>","DOI":"10.1111\/risa.70236","type":"journal-article","created":{"date-parts":[[2026,3,30]],"date-time":"2026-03-30T06:52:16Z","timestamp":1774853536000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Three Voices, One Crisis: Dimensions of COVID\u201019 Communication in Transitional China"],"prefix":"10.1111","volume":"46","author":[{"given":"Jin","family":"Li","sequence":"first","affiliation":[{"name":"School of Government Central University of Finance and Economics  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xi","family":"Wang","sequence":"additional","affiliation":[{"name":"School of Information Central University of Finance and Economics  Beijing China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,3,29]]},"reference":[{"key":"e_1_2_11_2_1","doi-asserted-by":"publisher","DOI":"10.2307\/2131866"},{"key":"e_1_2_11_3_1","doi-asserted-by":"crossref","unstructured":"Blei D. andJ.Lafferty.2006. \u201cDynamic Topic Models.\u201d InProceedings of the 23rd International Conference on Machine Learning\u2010ICML'06 113\u2013120.ACM. 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