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Analysis on Health Information Acquisition of Social Network Users by Opinion Mining: Case Analysis Based on the Discussion on COVID-19 Vaccinations.
Bi, Datian; Kong, Jingyuan; Zhang, Xue; Yang, Junli.
  • Bi D; School of Management, Jilin University, Changchun 130022, China.
  • Kong J; School of Management, Jilin University, Changchun 130022, China.
  • Zhang X; School of Management, Jilin University, Changchun 130022, China.
  • Yang J; School of Journalism and Communication, Jilin University of Finance and Economics, Changchun 130117, China.
J Healthc Eng ; 2021: 2122095, 2021.
Article in English | MEDLINE | ID: covidwho-1438134
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.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Consumer Health Information / Social Networking / Social Media / COVID-19 Topics: Vaccines Limits: Humans Language: English Journal: J Healthc Eng Year: 2021 Document Type: Article Affiliation country: 2021

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Consumer Health Information / Social Networking / Social Media / COVID-19 Topics: Vaccines Limits: Humans Language: English Journal: J Healthc Eng Year: 2021 Document Type: Article Affiliation country: 2021