Assessing the Interplay Between Public Attention and Government Responsiveness With Digital Trace Data: Navigating Leadership and Followership in China’s COVID-19 Vaccination Campaign

IF 3 2区 社会学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS Social Science Computer Review Pub Date : 2024-06-03 DOI:10.1177/08944393241258217
Yunya Song, Ran Xu, Yi-Hui Christine Huang, Shijun Ni, Yining Fan
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Abstract

China’s digital campaign to “vaccinate all who can be vaccinated,” officially launched in December 2020, carries global implications. Grounded in the agenda-setting framework to reveal how the responses of different groups are shaped and their agendas interact, this study analyzed two years of Sina Weibo (the largest Chinese microblogging service) and Baidu (the leading search engine in China) search index data to investigate the interrelationships among different groups’ issue foci and the effects of sentiment, rationality, and moral motivation in the agenda-setting process. Large-scale computational analyses were conducted to determine the extent to which the Chinese government followed the public’s issue preferences and identify which segment of the public had a stronger ability to set the agenda. The results indicated that as the central government transitioned from leading to following the public, regional governments had a greater impact on the public agenda compared to the central government or media. The government, public, and media differed in their usage of sentiment and moral motivation on social media during the vaccination campaign, and this varied depending on the campaign’s stage. Notably, all stakeholders emphasized individual-centered values over community-centered values when addressing vaccination. The findings shed light on effective strategies for social mobilization through targeted public health messaging.
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利用数字追踪数据评估公众关注与政府响应之间的相互作用:中国 COVID-19 疫苗接种活动中的领导力与追随力导航
中国于 2020 年 12 月正式启动的 "为所有可接种者接种疫苗 "的数字运动具有全球影响。为了揭示不同群体的反应是如何形成的以及他们的议程是如何相互作用的,本研究以议程设置框架为基础,分析了新浪微博(中国最大的微博服务)和百度(中国领先的搜索引擎)两年来的搜索指数数据,研究了不同群体的议题焦点之间的相互关系,以及情感、理性和道德动机在议程设置过程中的影响。研究还进行了大规模计算分析,以确定中国政府在多大程度上遵循了公众的议题偏好,并确定哪一部分公众具有更强的议程设置能力。结果表明,随着中央政府从主导公众过渡到跟随公众,地区政府对公众议程的影响要大于中央政府或媒体。在疫苗接种活动期间,政府、公众和媒体在社交媒体上对情感和道德动机的使用各不相同,这取决于活动所处的阶段。值得注意的是,所有利益相关者在处理疫苗接种问题时都强调以个人为中心的价值观,而不是以社区为中心的价值观。研究结果揭示了通过有针对性的公共卫生信息进行社会动员的有效策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Social Science Computer Review
Social Science Computer Review 社会科学-计算机:跨学科应用
CiteScore
9.00
自引率
4.90%
发文量
95
审稿时长
>12 weeks
期刊介绍: Unique Scope Social Science Computer Review is an interdisciplinary journal covering social science instructional and research applications of computing, as well as societal impacts of informational technology. Topics included: artificial intelligence, business, computational social science theory, computer-assisted survey research, computer-based qualitative analysis, computer simulation, economic modeling, electronic modeling, electronic publishing, geographic information systems, instrumentation and research tools, public administration, social impacts of computing and telecommunications, software evaluation, world-wide web resources for social scientists. Interdisciplinary Nature Because the Uses and impacts of computing are interdisciplinary, so is Social Science Computer Review. The journal is of direct relevance to scholars and scientists in a wide variety of disciplines. In its pages you''ll find work in the following areas: sociology, anthropology, political science, economics, psychology, computer literacy, computer applications, and methodology.
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