Cited By
View all- Altoe FMoreira CPinto HJorge J(2024)Online Fake News Opinion Spread and Belief Change: A Systematic ReviewHuman Behavior and Emerging Technologies10.1155/2024/10696702024(1-20)Online publication date: 30-Apr-2024
Evolution of Public Opinion on COVID-19 Based on Microblog Visualization
Pages 142 - 148
Abstract
In January 2020, the outbreak of COVID in China attracted widespread attention and discussion on social media. Evolution of public opinion can help us understand users' hot topics and the evolution rule among these topics. Therefore, a public opinion evolution model based on microblog data is proposed in this paper. Firstly, a web crawler is used to obtain microblog data. Then the idea of sentiment analysis and topic extraction in order is used to analyze, and divide the stages through the emotional conflict evolution diagram. Finally, fine-grained emotion visualization is carried out for the hot topics in each stage, the evolution rule of public opinion on COVID-19 is summarized, and the effectiveness and scientificity of the method are also verified.
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Index Terms
- Evolution of Public Opinion on COVID-19 Based on Microblog Visualization
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Published In
August 2022
188 pages
ISBN:9781450396837
DOI:10.1145/3561877
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Published: 20 November 2022
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ICISS 2022
ICISS 2022: 2022 the 5th International Conference on Information Science and Systems
August 26 - 28, 2022
Beijing, China
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View all- Altoe FMoreira CPinto HJorge J(2024)Online Fake News Opinion Spread and Belief Change: A Systematic ReviewHuman Behavior and Emerging Technologies10.1155/2024/10696702024(1-20)Online publication date: 30-Apr-2024
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