Abstract
This study aims to explore phenomena and laws that occur when different users on social network platforms obtain health information by constructing an opinion mining model, analyzing the user's position on selected cases, and exploring the reflection of the phenomenon of truth decay on platforms. It selects group posts regarding the COVID-19 vaccination dispute on the Douban platform, analyzes the positions of different users, and explores phenomena related to users obtaining health information on domestic social platforms according to different topics and information behaviors. The results reveal a linear relationship between the negative and neutral attitudes of netizens on social networking platforms. Moreover, netizens tend to hold subjective language when expressing their views and attitudes, and their views on social platforms will not change easily. The study explores the health information acquisition behavior of netizens on social platforms based on the constructed user opinion mining model. The study is helpful for relevant units and platforms to make scientific decisions and provide guidance according to different positions of Internet users.
Highlights
With the popularity of the Internet and the widespread application of social media platforms, the speed and scope of netizens’ access to information and communication have undergone tremendous changes
To explore the truth decay that occurs when netizens obtain health information on social platforms, this paper provides more reference opinions for related platforms to monitor the dissemination of health information. e article is divided Journal of Healthcare Engineering into six parts. e first introduces the background of this research, and the second summarizes the research results on health information and opinion mining in social platforms, introducing the concept of truth decay and its performance trends. e third introduces the model of point mining in this research and elaborates on the acquisition and processing of data. e fourth is based on the information behavior of netizens and their discussion topic words. e fifth discusses this article’s research results
Since users on the Douban platform are relatively free to discuss different topics, the platform is filled with many unproven rumors; netizens are faced with false information when searching for information. en, Douban is a suitable research object to explore the phenomena that occur when netizens obtain health-related information on platforms
Summary
With the popularity of the Internet and the widespread application of social media platforms, the speed and scope of netizens’ access to information and communication have undergone tremendous changes. People are accustomed to searching for health information before and after medical consultation and expressing their own opinions for social interaction on social platforms. While this significant change has brought ease and convenience, it has resulted in a mix of true and false information on social media platforms. States started exploring the diminishing role of facts and analysis and launched “truth decay” on its 2018 report. Whether it is “post-truth,” “fake news,” or “truth decay,” these phases represent the difficulty to reach consensus and fuel the desire to question one another on social platforms. The Internet is bound to become even more important due to the various changes of types of Internet users and their information behavior; social platforms should aim at providing more reliable and accurate online health information in the near future
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