• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利：CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法，用中文像聊天一样搜索，搜遍4000万医学文献。AI智能推荐，让科研检索更轻松。

立即免费搜索

文件翻译

保留排版，准确专业，支持PDF/Word/PPT等文件格式，支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述，25分钟生成高质量综述，智能提取关键信息，辅助科研写作。

立即免费体验

探究中国民众对直播健身的态度：对中国社交媒体微博的情绪和内容分析。

Exploring public attitudes toward live-streaming fitness in China: A sentiment and content analysis of China's social media Weibo.

机构信息

School of Art, Culture and Tourism Industry Think Tank Chinese Art Evaluation Institute, Southeast University, Nanjing, China.

出版信息

Front Public Health. 2022 Nov 3;10:1027694. doi: 10.3389/fpubh.2022.1027694. eCollection 2022.

DOI:10.3389/fpubh.2022.1027694
PMID:36408048
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9669485/
Abstract

OBJECTIVES

Live-streaming fitness is perceived by the Chinese government as an invaluable means to reduce the prevalence of physical inactivity amid the COVID-19 pandemic. This study aims to investigate the public altitudes of the Chinese people toward live-streaming fitness and provide future health communication strategies on the public promotion of live-streaming fitness accordingly.

METHODS

This study collected live-streaming fitness-related microblog posts from July 2021 to June 2022 in Weibo, the Chinese equivalent to Twitter. We used the BiLSTM-CNN model to carry out the sentiment analysis, and the structured topic modeling (STM) method to conduct content analysis.

RESULTS

This study extracted 114,397 live-streaming fitness-related Weibo posts. Over 80% of the Weibo posts were positive during the period of the study, and over 85% were positive in half of the period. This study finds 8 topics through content analysis, which are fitness during quarantine; cost reduction; online community; celebrity effect; Industry; fitness injuries; live commerce and Zero Covid strategy.

CONCLUSIONS

It is discovered that the public attitudes toward live-streaming fitness were largely positive. Topics related to celebrity effect (5-11%), fitness injuries (8-16%), live commerce (5-9%) and Zero Covid strategy (16-26%) showed upward trends in negative views of the Chinese people. Specific health communication strategy suggestions are given to target each of the negative topics.

摘要

目的

中国政府认为，直播健身是在新冠疫情期间减少身体活动不足的一种非常有价值的手段。本研究旨在调查中国人对直播健身的公众态度，并相应地为公众推广直播健身提供未来的健康传播策略。

方法

本研究从 2021 年 7 月至 2022 年 6 月在微博上收集了与直播健身相关的微博帖子。我们使用 BiLSTM-CNN 模型进行情感分析，并使用结构化主题建模（STM）方法进行内容分析。

结果

本研究共提取了 114397 条与直播健身相关的微博帖子。在研究期间，超过 80%的微博帖子是积极的，超过 85%的帖子在研究期间的一半时间内是积极的。本研究通过内容分析发现了 8 个主题，分别是隔离期间的健身、降低成本、在线社区、名人效应、行业、健身损伤、直播商务和零新冠策略。

结论

研究发现，公众对直播健身的态度总体上是积极的。与名人效应（5-11%）、健身损伤（8-16%）、直播商务（5-9%）和零新冠策略（16-26%）相关的主题显示出中国人负面看法的上升趋势。针对每个负面主题，给出了具体的健康传播策略建议。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8b7/9669485/e5f529c1c9f8/fpubh-10-1027694-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8b7/9669485/4921ed75135c/fpubh-10-1027694-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8b7/9669485/401d6c6d6d61/fpubh-10-1027694-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8b7/9669485/a47f5d393ec3/fpubh-10-1027694-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8b7/9669485/de797de0cbf8/fpubh-10-1027694-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8b7/9669485/e5f529c1c9f8/fpubh-10-1027694-g0005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8b7/9669485/4921ed75135c/fpubh-10-1027694-g0001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8b7/9669485/401d6c6d6d61/fpubh-10-1027694-g0002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8b7/9669485/a47f5d393ec3/fpubh-10-1027694-g0003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8b7/9669485/de797de0cbf8/fpubh-10-1027694-g0004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c8b7/9669485/e5f529c1c9f8/fpubh-10-1027694-g0005.jpg

相似文献

1
Exploring public attitudes toward live-streaming fitness in China: A sentiment and content analysis of China's social media Weibo.探究中国民众对直播健身的态度：对中国社交媒体微博的情绪和内容分析。
Front Public Health. 2022 Nov 3;10:1027694. doi: 10.3389/fpubh.2022.1027694. eCollection 2022.
2
Concerns Expressed by Chinese Social Media Users During the COVID-19 Pandemic: Content Analysis of Sina Weibo Microblogging Data.新冠疫情期间中国社交媒体用户表达的担忧：对新浪微博数据的内容分析
J Med Internet Res. 2020 Nov 26;22(11):e22152. doi: 10.2196/22152.
3
Public Discourse and Sentiment Toward Dementia on Chinese Social Media: Machine Learning Analysis of Weibo Posts.中文社交媒体中公众对痴呆症的话语和情绪：微博帖子的机器学习分析。
J Med Internet Res. 2022 Sep 2;24(9):e39805. doi: 10.2196/39805.
4
Exploring the Factors Associated with Mental Health Attitude in China: A Structural Topic Modeling Approach.探讨中国心理健康态度相关因素：结构主题建模方法。
Int J Environ Res Public Health. 2022 Oct 1;19(19):12579. doi: 10.3390/ijerph191912579.
5
Characterizing Weibo Social Media Posts From Wuhan, China During the Early Stages of the COVID-19 Pandemic: Qualitative Content Analysis.描述中国武汉 COVID-19 大流行早期阶段微博社交媒体帖子的特征：定性内容分析。
JMIR Public Health Surveill. 2020 Dec 7;6(4):e24125. doi: 10.2196/24125.
6
Temporal and Emotional Variations in People's Perceptions of Mass Epidemic Infectious Disease After the COVID-19 Pandemic Using Influenza A as an Example: Topic Modeling and Sentiment Analysis Based on Weibo Data.基于微博数据的主题建模和情感分析：以甲型流感为例探讨 COVID-19 大流行后人们对大规模传染病的时间和情感变化
J Med Internet Res. 2023 Nov 2;25:e49300. doi: 10.2196/49300.
7
The impact factors of social media users' forwarding behavior of COVID-19 vaccine topic: Based on empirical analysis of Chinese Weibo users.社交媒体用户转发新冠疫苗话题的影响因素：基于中国微博用户的实证分析。
Front Public Health. 2022 Sep 14;10:871722. doi: 10.3389/fpubh.2022.871722. eCollection 2022.
8
Evolution of Public Attitudes and Opinions Regarding COVID-19 Vaccination During the Vaccine Campaign in China: Year-Long Infodemiology Study of Weibo Posts.中国疫苗接种运动期间公众对 COVID-19 疫苗接种的态度和看法的演变：对微博帖子进行的为期一年的信息流行病学研究。
J Med Internet Res. 2023 Feb 16;25:e42671. doi: 10.2196/42671.
9
Topic and Trend Analysis of Weibo Discussions About COVID-19 Medications Before and After China's Exit from the Zero-COVID Policy: Retrospective Infoveillance Study.微博关于 COVID-19 药物的讨论在我国结束“动态清零”政策前后的主题和趋势分析：回顾性信息监测研究。
J Med Internet Res. 2023 Oct 27;25:e48789. doi: 10.2196/48789.
10
Public Attitudes Toward Anxiety Disorder on Sina Weibo: Content Analysis.公众对新浪微博上焦虑障碍的态度：内容分析。
J Med Internet Res. 2023 Apr 4;25:e45777. doi: 10.2196/45777.

引用本文的文献

1
What drives Chinese youth to use fitness-related health information on social media? An analysis of intrinsic needs, social media algorithms, and source credibility.是什么驱使中国年轻人在社交媒体上使用与健身相关的健康信息？对内在需求、社交媒体算法和信息来源可信度的分析。
Front Public Health. 2024 Dec 5;12:1445778. doi: 10.3389/fpubh.2024.1445778. eCollection 2024.
2
Chinese Public Attitudes and Opinions on Health Policies During Public Health Emergencies: Sentiment and Topic Analysis.中国公众对突发公共卫生事件卫生政策的态度和意见：情感和主题分析。
J Med Internet Res. 2024 Oct 28;26:e58518. doi: 10.2196/58518.
3
Exploring sources of patient dissatisfaction in mobile health communication: A text analysis based on structural topic model.

本文引用的文献

1
Fitness Apps, Live Streaming Workout Classes, and Virtual Reality Fitness for Physical Activity During the COVID-19 Lockdown: An Empirical Study.健身应用程序、直播健身课程和虚拟现实健身在 COVID-19 封锁期间促进身体活动：一项实证研究。
Front Public Health. 2022 Jun 22;10:852311. doi: 10.3389/fpubh.2022.852311. eCollection 2022.
2
Health Communication through Chinese Media on E-Cigarette: A Topic Modeling Approach.通过中文媒体进行的电子烟健康传播：一种主题建模方法。
Int J Environ Res Public Health. 2022 Jun 21;19(13):7591. doi: 10.3390/ijerph19137591.
3
Public Social Media Discussions on Agricultural Product Safety Incidents: Chinese African Swine Fever Debate on Weibo.
探索移动健康通信中患者不满的来源：基于结构主题模型的文本分析
Digit Health. 2024 Oct 1;10:20552076241287890. doi: 10.1177/20552076241287890. eCollection 2024 Jan-Dec.
4
Being there and being with them: the effects of visibility affordance of online short fitness video on users' intention to cloud fitness.身临其境并与他们在一起：在线健身短视频的可见性可供性对用户云健身意愿的影响。
Front Psychol. 2024 Feb 1;15:1267502. doi: 10.3389/fpsyg.2024.1267502. eCollection 2024.
关于农产品安全事件的公共社交媒体讨论：微博上的中国非洲猪瘟辩论
Front Psychol. 2022 May 20;13:903760. doi: 10.3389/fpsyg.2022.903760. eCollection 2022.
4
Changes of the Public Attitudes of China to Domestic COVID-19 Vaccination After the Vaccines Were Approved: A Semantic Network and Sentiment Analysis Based on Sina Weibo Texts.疫苗获批后中国公众对国内 COVID-19 疫苗态度的变化：基于新浪微博文本的语义网络和情感分析。
Front Public Health. 2021 Nov 11;9:723015. doi: 10.3389/fpubh.2021.723015. eCollection 2021.
5
China Public Psychology Analysis About COVID-19 Under Considering Sina Weibo Data.基于新浪微博数据的中国公众对COVID-19的心理分析
Front Psychol. 2021 Sep 8;12:713597. doi: 10.3389/fpsyg.2021.713597. eCollection 2021.
6
Policy-Relevant Attitudes Toward COVID-19 Vaccination: Associations With Demography, Health Risk, and Social and Political Factors.对新冠疫苗接种的政策相关态度：与人口统计学、健康风险以及社会和政治因素的关联
Front Public Health. 2021 Jul 6;9:671896. doi: 10.3389/fpubh.2021.671896. eCollection 2021.
7
Physical Inactivity, Non-Communicable Diseases and National Fitness Plan of China for Physical Activity.身体活动不足、非传染性疾病与中国全民健身行动计划
Risk Manag Healthc Policy. 2021 Jun 3;14:2319-2331. doi: 10.2147/RMHP.S258660. eCollection 2021.
8
Detecting Topic and Sentiment Trends in Physician Rating Websites: Analysis of Online Reviews Using 3-Wave Datasets.检测医生评级网站的主题和情感趋势：使用三波数据集的在线评论分析
Int J Environ Res Public Health. 2021 Apr 29;18(9):4743. doi: 10.3390/ijerph18094743.
9
COVID-19 as an "Infodemic" in Public Health: Critical Role of the Social Media.新型冠状病毒肺炎疫情期间的信息洪流对公共卫生的影响：社交媒体的关键作用。
Front Public Health. 2021 Mar 18;9:610623. doi: 10.3389/fpubh.2021.610623. eCollection 2021.
10
Counteracting Physical Inactivity during the COVID-19 Pandemic: Evidence-Based Recommendations for Home-Based Exercise.对抗 COVID-19 大流行期间的身体活动不足：基于证据的居家运动推荐。
Int J Environ Res Public Health. 2020 Jun 1;17(11):3909. doi: 10.3390/ijerph17113909.