Research on the evolution of cross-platform online public opinion for public health emergencies considering stakeholders

• Published in: PloS one Vol. 19; no. 6; p. e0304877
• Main Authors: Shen, Yan, Luo, Zhou, Song, Xinping, Liu, Chunhua
• Format: Journal Article
• Language: English
• Published: United States Public Library of Science 25-06-2024; Public Library of Science (PLoS)
• Subjects: Artificial neural networks; Coronaviruses; COVID-19 vaccines; Dirichlet problem; Disease transmission; Emergencies; Emergencies - psychology; Emotions; Evolution; Humans; Immunization; Internet; Knowledge representation; Mining; Neural networks; Neural Networks, Computer; Pandemics; Propagation; Public Health; Public Opinion; Sentiment analysis; Social networks; Stakeholder Participation - psychology; China
• ISSN: 1932-6203; 1932-6203
• DOI: 10.1371/journal.pone.0304877

To explore the different processes of the themes and emotional evolution of various stakeholders in the network public opinion of sudden public health emergencies at different stages of the public opinion evolution lifecycle.
This paper proposes a cross-platform analysis method for online public opinion during the public health emergencies based on stakeholders. Firstly, data from multiple platforms are collected and integrated. Secondly, stakeholders are categorized and the stages of public opinion evolution are determined based on stakeholder theory and lifecycle theory. Finally, the Latent Dirichlet Allocation (LDA)+Word2vec model and Convolutional Neural Network (CNN) model are used to analyze the themes and emotional evolution of stakeholders during different stages of public opinion evolution.
There are differences in the evolution patterns of different types of stakeholders. The evolution process of stakeholders' focus points exhibits a two-stage transition from concentration to divergence. The focus points of stakeholders are closely associated with their respective social domains. The emotions of the public undergo a three-stage process of positive-negative-positive change.
This study can provide a reference for the government to have a more comprehensive understanding of the development trend of public opinion and reduce the negative impact of public opinion.