Qiu Junping, Zhang Tingyong, Xu Zhongyang
[Purpose/significance] Understanding the characteristic differences between false health information in User Generated Content (UGC) and Artificial Intelligence Generated Content (AIGC) is of great significance for improving the comprehensive governance system of false health information in the age of digital intelligence[Method/process] Based on 600 samples of false health information,the article used proceduralized grounded theory to identify the characteristics of false health information and explored the differences in the characteristics of false health information in UGC and AIGC using the contingency table chisquare test and analysis of variance (ANOVA).[Result/conclusion] False health information in both UGC and AIGC exhibits four core characteristics,nine primary characteristics,and 34 subcharacteristicsFor the same topics,four primary characteristics,including data bias and logical fallacies,are the main distinguishing features between UGC and AIGC false health information,while three primary characteristics,such as information confusion,are secondary featuresFurthermore,significant differences in subcharacteristics exist between UGC and AIGC within the same topic and primary characteristicFor different topics,in UGC false health information,information confusion is a prominent feature common to the topics of healthcare,food safety,and preventive care,while terminology manipulation,misleading statement,and false authority or others are prominent features of the topics of healthcare,food safety,and preventive care,respectivelyIn AIGC false health information,misleading statement is the notable characteristic in the topic of food safetyBased on these findings,the research proposes strategies to optimize the comprehensive governance system for false health information on the internet