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Who is leading China's family planning policy discourse in Weibo? A social media text mining analysis

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journal contribution
posted on 07.07.2021, 22:59 by Wen Deng, Jia‐Huey Hsu, Karl Löfgren, Wonhyuk ChoWonhyuk Cho
The advent of digital social media in China has altered our understanding of who sets the policy agenda and forms public opinion. Using text mining analysis of more than 74,000 Weibo user comments (over 4 million words) on 6 years' worth of The People's Daily media coverage, this study investigates social media interactions on family planning policy issues between the state-run news media and individual users in China. Our analysis demonstrates that Weibo postings about the topic by government-run news networks and comments by the general public are affecting each other, but also presenting partially reverse or bottom-up agenda-setting effects. Through latent dirichlet allocation (LDA) modeling, we identified major latent topic sets (women's right to work, family culture/tradition, law/regulation, and social welfare/wellbeing) and found that Weibo users' main concerns on China's family planning have changed over time. We also found that gender differences affect the topics of commenters.

Funding

(Grant title: ON HOLD FOR CREDITS ONLY RSL - 6 months from 1 January 2020 to 30 June 2020 (6 months overseas))

History

Preferred citation

Deng, W., Hsu, J. H., Löfgren, K. & Cho, W. (2021). Who is leading China's family planning policy discourse in Weibo? A social media text mining analysis. Policy and Internet. https://doi.org/10.1002/poi3.264

Journal title

Policy and Internet

Publication date

01/01/2021

Publisher

Wiley

Online publication date

01/07/2021

ISSN

1944-2866