Abstract
Rumor management and control in times of crises are important research agendas in public administration. While this domain is flourishing, most studies concentrate on single incidents or governmental tiers, neglecting the nuanced dynamic interactions in multiple governmental tiers. Drawing on the Situational Crisis Communication Theory (SCCT), we examine how central, provincial, and municipal governments communicate with the public to counter rumors during natural disasters, using China as a case. By applying machine learning techniques to 10,682 government microblog posts combined with qualitative analyses, this study identifies four distinct counter-rumor strategies: evidence-based refutation, advocacy, attacking rumor initiator, and denial without evidence. Results reveal the “whole of government” collaborative governance and intergovernmental coordination pattern within multi-tier governments. Evidence-based refutation constitutes the dominant counter-rumor strategy across all governmental tiers, while advocacy serves as a secondary approach. Within this shared pattern, a subtle “division of labor” approach emerges: central government tends to employ evidence-based refutation more frequently, whereas local (provincial and municipal) governments show relatively greater use of advocacy . The other strategies are quantitatively consistent across governmental tiers. Meanwhile, counter-rumor strategies vary systematically by disaster type. This coordination with specialization in communication strategy provides insights for global crisis management. © 2026 Elsevier Inc.
| Original language | English |
|---|---|
| Article number | 102104 |
| Journal | Government Information Quarterly |
| Volume | 43 |
| Issue number | 1 |
| Online published | 14 Jan 2026 |
| DOIs | |
| Publication status | Published - Mar 2026 |
Funding
The work described in this paper was fully supported by a grant from the Research Grants Council of the Hong Kong Special Administrative Region, China (Project No. CityU 15513723), and the grants from National Natural Science Foundation of China (Project No. 72134005).
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 11 Sustainable Cities and Communities
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SDG 16 Peace, Justice and Strong Institutions
Research Keywords
- Collaborative governance
- Communication
- Crisis
- Disaster
- Intergovernmental coordination
- Rumor
- Social media
Publisher's Copyright Statement
- COPYRIGHT TERMS OF DEPOSITED POSTPRINT FILE: © 2026. This manuscript version is made available under the CC-BY-NC-ND 4.0 license https://creativecommons.org/licenses/by-nc-nd/4.0/.
RGC Funding Information
- RGC-funded
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