부산대학교 도서관

This paper summarizes the design and development of a novel big data pipeline and ecosystem for identifying and analyzing misleading information related to a particular health topic of set of related topics. The objective of this study is to bridge the gap between the epidemiological capacity of ever-increasing amount of social media data pertaining to health topics and the public health officials and policymakers who currently do not have access to it without needing a technical background. The described system has been developed using a fluoride misinformation use case and is being adapted for other prevailing health topics like vaccine hesitancy.