Abstract
This paper aims to introduce the use of the agile governance theory in improving the identification and processing speed of distorted health information on the internet to ensure the security of public health information and maintain the authenticity of the network environment. Use literature research and content analysis to summarize the governance challenges of distorted health information and the shortcomings of governance responses. The governance of distorted health information encounters difficulties such as the rapid release of information, frequent updates, and the diversity and anonymity of information publishers. The current countermeasures against distorted health information mainly include community participation, technological means of monitoring, cross-platform cooperation, and data-driven governance. However, existing countermeasures still suffer from the governance process relying on community participation, poor cross-platform collaboration, limited application of algorithms, and insufficient enforcement of information regulation. These shortcomings affect the effectiveness and timeliness of countermeasures against disinformation, and there is an urgent need to further optimize and improve governance mechanisms. To assess the advantages of agile governance theory in the governance of distorted health information, and propose that the agile governance model of distorted health information contains three dimensions, namely, data empowerment, process reengineering, and role reconstruction, and that the implementation path is based on regulations and stipulations, scientific and technological empowerment, and educational guidance, and the interaction of these three dimensions achieves the ability of agile governance of distorted health information with rapid perception, flexible response, and continuous coordination.