Analysis on Health Information Acquisition of Social Network Users by Opinion Mining: Case Analysis Based on the Discussion on COVID-19 Vaccinations

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.

Jordanian Patients’ Family Members Need Perceptions in the Critical Care Settings: Nurses’ Perspectives versus Family Members’ Perspectives in the Context of Health Informatics

“…Nowadays, with the advancing technology and widespread health informatics and social platforms, people can exchange and find personalized and nonpersonalized health-related information on these platforms [ 29 , 30 ]. This kind of dissemination of information on social media networks could make people less concerned about seeking information from healthcare professionals [ 31 ].…”

Social media and attitudes towards a COVID-19 vaccination: A systematic review of the literature

“…61 After conducting the updated search,we were able to locate new studies that focused social data mining on specific regions, thereby providing more insights into themes that were specific to a certain location. However, the topics identified as vaccine-hesitant were unique regardless of the location − such as mistrust into the manufacturing process, science, and reliance on conspiracy theories in Turkey, 62 distrust in the scientific and manufacturing process in China, 63 non-necessity of the vaccine, concerns over safety and side effects, in Canada. 29 These topics were mainly identified through our initial search conducted up to September 2021, and we could observe that themes that were discussed by the public and were oriented against vaccination were repetitive throughout different geographical locations throughout different study periods.…”

Willingness to Receive COVID-19 Booster Vaccine: Associations between Green-Pass, Social Media Information, Anti-Vax Beliefs, and Emotional Balance

“…Facebook, in particular, is the second (behind YouTube) most widespread and easy-to-access platform where a person can find more timely and personalized health-related information [ 18 ], even if this information is unscientific and meets their own beliefs. In a study that analyzed the acquisition of health information on social networks based on the discussion of COVID-19 vaccinations [ 19 ], authors have affirmed that netizens’ opinions on social platforms did not change easily.…”