信息异化与圈裂:新冠肺炎政策视角下的中国社交媒体政策传播与舆论生成网络

Yuanchu Dai, Xinyu Cheng, Yichuan Liu
{"title":"信息异化与圈裂:新冠肺炎政策视角下的中国社交媒体政策传播与舆论生成网络","authors":"Yuanchu Dai, Xinyu Cheng, Yichuan Liu","doi":"10.3390/systems11070340","DOIUrl":null,"url":null,"abstract":"The emergence of the Internet and social media provides a new platform for information diffusion, promoting the interaction among relatively independent participants in the opinion market and changing the balance of the intrinsic mechanism and external dynamics based on political communication. In this way, it is necessary to investigate the new interactive landscape of political communication and political discourse regarding digital media. In this study, we conduct a social and semantic network analysis of the dissemination and public opinion generation landscape of the COVID-19 “New Ten Articles” policy communication by the Chinese government, exploring the network relationships and emotional value interactions behind the contact of a new public policy in China. The results show that, in the political communication system, the influence of information’s position in the communication field has surpassed the information source impact, and the power of network opinion leaders is significant; the policy communication network presents a situation of “identity status circle” division, and the information circle connection presents a trend of fracture and barrier thickening, which may cause policy information alienation and social opinion polarization risk; the imbalance between policy information supply and public demand is further enhanced, and the negative emotion “cloud” is distributed on a scale and condenses into grassroots social governance pressure; and the content released by some key opinion leaders, experts, online media, and local mainstream media accounts is significantly correlated with network emotions. These emotions continue to spread in subsequent discussions, and to some extent, influence the formation process of political public opinion.","PeriodicalId":52858,"journal":{"name":"syst mt`lyh","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Information Alienation and Circle Fracture: Policy Communication and Opinion-Generating Networks on Social Media in China from the Perspective of COVID-19 Policy\",\"authors\":\"Yuanchu Dai, Xinyu Cheng, Yichuan Liu\",\"doi\":\"10.3390/systems11070340\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The emergence of the Internet and social media provides a new platform for information diffusion, promoting the interaction among relatively independent participants in the opinion market and changing the balance of the intrinsic mechanism and external dynamics based on political communication. In this way, it is necessary to investigate the new interactive landscape of political communication and political discourse regarding digital media. In this study, we conduct a social and semantic network analysis of the dissemination and public opinion generation landscape of the COVID-19 “New Ten Articles” policy communication by the Chinese government, exploring the network relationships and emotional value interactions behind the contact of a new public policy in China. The results show that, in the political communication system, the influence of information’s position in the communication field has surpassed the information source impact, and the power of network opinion leaders is significant; the policy communication network presents a situation of “identity status circle” division, and the information circle connection presents a trend of fracture and barrier thickening, which may cause policy information alienation and social opinion polarization risk; the imbalance between policy information supply and public demand is further enhanced, and the negative emotion “cloud” is distributed on a scale and condenses into grassroots social governance pressure; and the content released by some key opinion leaders, experts, online media, and local mainstream media accounts is significantly correlated with network emotions. These emotions continue to spread in subsequent discussions, and to some extent, influence the formation process of political public opinion.\",\"PeriodicalId\":52858,\"journal\":{\"name\":\"syst mt`lyh\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-07-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"syst mt`lyh\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.3390/systems11070340\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"syst mt`lyh","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3390/systems11070340","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

互联网和社交媒体的出现为信息扩散提供了新的平台,促进了相对独立的意见市场参与者之间的互动,改变了以政治传播为基础的内在机制和外部动力的平衡。这样,就有必要研究数字媒体下政治传播和政治话语的新互动景观。在本研究中,我们对中国政府新冠肺炎“新十条”政策传播的传播和舆论生成格局进行了社会和语义网络分析,探索中国新公共政策接触背后的网络关系和情感价值互动。研究结果表明,在政治传播体系中,信息在传播领域的地位影响已经超过了信息源影响,网络意见领袖的力量显著;政策传播网络呈现“身份身份圈”分化态势,信息圈连接呈现断裂和屏障加厚趋势,可能造成政策信息异化和社会舆论两极分化风险;政策信息供给与公众需求的不平衡进一步加剧,负面情绪“云”规模化分布并凝结为基层社会治理压力;一些关键意见领袖、专家、网络媒体和当地主流媒体账号发布的内容与网络情绪显著相关。这些情绪在随后的讨论中不断蔓延,并在一定程度上影响了政治舆论的形成过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Information Alienation and Circle Fracture: Policy Communication and Opinion-Generating Networks on Social Media in China from the Perspective of COVID-19 Policy
The emergence of the Internet and social media provides a new platform for information diffusion, promoting the interaction among relatively independent participants in the opinion market and changing the balance of the intrinsic mechanism and external dynamics based on political communication. In this way, it is necessary to investigate the new interactive landscape of political communication and political discourse regarding digital media. In this study, we conduct a social and semantic network analysis of the dissemination and public opinion generation landscape of the COVID-19 “New Ten Articles” policy communication by the Chinese government, exploring the network relationships and emotional value interactions behind the contact of a new public policy in China. The results show that, in the political communication system, the influence of information’s position in the communication field has surpassed the information source impact, and the power of network opinion leaders is significant; the policy communication network presents a situation of “identity status circle” division, and the information circle connection presents a trend of fracture and barrier thickening, which may cause policy information alienation and social opinion polarization risk; the imbalance between policy information supply and public demand is further enhanced, and the negative emotion “cloud” is distributed on a scale and condenses into grassroots social governance pressure; and the content released by some key opinion leaders, experts, online media, and local mainstream media accounts is significantly correlated with network emotions. These emotions continue to spread in subsequent discussions, and to some extent, influence the formation process of political public opinion.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
审稿时长
9 weeks
期刊最新文献
Optimal Government Subsidy Decision and Its Impact on Sustainable Development of a Closed-Loop Supply Chain An Emotional Design Model for Future Smart Product Based on Grounded Theory Evolution Mechanism of Public-Private Partnership Project Trust from the Perspective of the Supply Chain Derivation of Optimal Operation Factors of Anaerobic Digesters through Artificial Neural Network Technology An Industrial Case Study on the Monitoring and Maintenance Service System for a Robot-Driven Polishing Service System under Industry 4.0 Contexts
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1