The application of network agenda setting model during the COVID-19 pandemic based on latent dirichlet allocation topic modeling
- PMID: 36237691
- PMCID: PMC9551107
- DOI: 10.3389/fpsyg.2022.954576
The application of network agenda setting model during the COVID-19 pandemic based on latent dirichlet allocation topic modeling
Abstract
Based on Network Agenda Setting Model, this study collected 42,516 media reports from Party Media, commercial media, and We Media of China during the COVID-19 pandemic. We trained LDA models for topic clustering through unsupervised machine learning. Questionnaires (N = 470) and social network analysis methods were then applied to examine the correlation between media network agendas and public network agendas in terms of explicit and implicit topics. The study found that the media reports could be classified into 14 topics by the LDA topic modeling, and the three types of media presented homogeneity in the topics of their reports, yet had their own characteristics; there was a significant correlation between the media network agenda and the public network agenda, and the We Media reports had the most prominent effect on the public network agenda; the correlation between the media agenda and the implicit public agenda was higher than that of the explicit public agenda. Overall, findings showed a significant correlation between network agendas among different media.
Keywords: LDA topic modeling; agenda network; agenda setting; explicit public agenda; implicit public agenda.
Copyright © 2022 Liu, Geng and Liu.
Conflict of interest statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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References
-
- Apriliyanti I. D., Utomo W. P., Purwanto E. A. (2021). Examining the policy narratives and the role of the media in policy responses to the covid-19 crisis in Indonesia. J. Asian Public Policy 14, 1–17. doi: 10.1080/17516234.2021.1954770 - DOI
-
- Buturoiu D. R., Gavrilescu M. (2021). Key words associated with the covid-19 pandemic. Comparing the media and the public agenda. J. Media Res. 14, 5–25. doi: 10.24193/jmr.40.1 - DOI
-
- Chen A., Zhang X. (2021). Changing social representations and agenda interactions of gene editing after crises: a network agenda-setting study on Chinese social media. Soc. Sci. Comput. Rev. 40, 1133–1152. doi: 10.1177/0894439321998066 - DOI
-
- China Internet Network Information Center (2021). The 47th China statistical report on Internet development. Available at: http://www.cnnic.net.cn/hlwfzyj/hlwxzbg/ (Accessed August 10, 2022).
-
- Golan G., Wanta W. (2001). Second-level agenda setting in the New Hampshire primary: a comparison of coverage in three newspapers and public perceptions of candidates. J. Mass Commun. Q. 78, 247–259. doi: 10.1177/107769900107800203 - DOI
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