• 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

社交媒体上健康风险信息的传播与扩散

Health Risk Information Engagement and Amplification on Social Media.

作者信息

Strekalova Yulia A

机构信息

1 University of Florida, Gainesville, FL, USA.

出版信息

Health Educ Behav. 2017 Apr;44(2):332-339. doi: 10.1177/1090198116660310. Epub 2016 Jul 19.

DOI:10.1177/1090198116660310
PMID:27413028
Abstract

Emerging pandemics call for unique health communication and education strategies in which public health agencies need to satisfy the public's information needs about possible risks while preventing risk exaggeration and dramatization. As a route to providing a framework for understanding public information behaviors in response to an emerging pandemic, this study examined the characteristics of communicative behaviors of social media audiences in response to Ebola outbreak news. Grounded in the social amplification of risks framework, this study adds to an understanding of information behaviors of online audiences by showing empirical differences in audience engagement with online health information. The data were collected from the Centers for Disease Control and Prevention (CDC) Facebook channel. The final data set included 809 CDC posts and 35,916 audience comments. The analysis identified the differences in audience information behaviors in response to an emerging pandemic, Ebola, and health promotion posts. While the CDC had fewer posts on Ebola than health promotion topics, the former received more attention from active page users. Furthermore, audience members who actively engaged with Ebola news had a small overlap with those who engaged with non-Ebola information during the same period. Overall, this study demonstrated that information behavior and audience engagement is topic dependent. Furthermore, audiences who commented on news about an emerging pandemic were homogenous and varied in their degree of information amplification.

摘要

新出现的大流行病需要独特的健康传播和教育策略,在这些策略中,公共卫生机构需要满足公众对可能风险的信息需求,同时防止风险被夸大和戏剧化。作为为理解公众针对新出现的大流行病的信息行为提供框架的一种途径,本研究考察了社交媒体受众针对埃博拉疫情新闻的传播行为特征。基于风险的社会放大框架,本研究通过展示在线受众对在线健康信息的参与存在实证差异,增进了对在线受众信息行为的理解。数据收集自美国疾病控制与预防中心(CDC)的脸书频道。最终数据集包括809条CDC帖子和35916条受众评论。分析确定了受众针对新出现的大流行病埃博拉以及健康促进帖子的信息行为差异。虽然CDC关于埃博拉的帖子比健康促进主题的帖子少,但前者得到了活跃页面用户更多的关注。此外,积极参与埃博拉新闻的受众成员与同期参与非埃博拉信息的受众成员有少量重叠。总体而言,本研究表明信息行为和受众参与度取决于主题。此外,对新出现的大流行病新闻发表评论的受众具有同质性,且在信息放大程度上存在差异。

相似文献

1
Health Risk Information Engagement and Amplification on Social Media.社交媒体上健康风险信息的传播与扩散
Health Educ Behav. 2017 Apr;44(2):332-339. doi: 10.1177/1090198116660310. Epub 2016 Jul 19.
2
Emergent health risks and audience information engagement on social media.社交媒体上的突发健康风险与受众信息参与度
Am J Infect Control. 2016 Mar 1;44(3):363-5. doi: 10.1016/j.ajic.2015.09.024. Epub 2015 Nov 7.
3
Delivering risk information in a dynamic information environment: Framing and authoritative voice in Centers for Disease Control (CDC) and primetime broadcast news media communications during the 2014 Ebola outbreak.在动态信息环境中传递风险信息:2014年埃博拉疫情期间美国疾病控制与预防中心(CDC)以及黄金时段广播新闻媒体传播中的框架构建与权威发声
Soc Sci Med. 2016 Nov;169:42-49. doi: 10.1016/j.socscimed.2016.09.029. Epub 2016 Sep 20.
4
Earned media and public engagement with CDC's "Tips from Former Smokers" campaign: an analysis of online news and blog coverage.自有媒体与公众对美国疾病控制与预防中心“前吸烟者的小贴士”活动的参与:在线新闻与博客报道分析
J Med Internet Res. 2015 Jan 20;17(1):e12. doi: 10.2196/jmir.3645.
5
Message Design and Audience Engagement with Tobacco Prevention Posts on Social Media.社交媒体上烟草预防帖子的信息设计与受众参与度
J Cancer Educ. 2018 Jun;33(3):668-672. doi: 10.1007/s13187-016-1135-x.
6
Communicating the Ontological Narrative of Ebola: An Emerging Disease in the Time of "Epidemic 2.0".传播埃博拉的本体叙事:“疫情2.0时代”的一种新兴疾病
Health Commun. 2017 Mar;32(3):329-338. doi: 10.1080/10410236.2016.1138380. Epub 2016 May 27.
7
A Picture Really is Worth a Thousand Words: Public Engagement with the National Cancer Institute on Social Media.一张图片真的抵得上千言万语:美国国立癌症研究所与社交媒体上公众的互动
J Cancer Educ. 2017 Mar;32(1):155-157. doi: 10.1007/s13187-015-0901-5.
8
Beyond Words: Amplification of Cancer Risk Communication on Social Media.言语之外:社交媒体上癌症风险沟通的放大
J Health Commun. 2017 Oct;22(10):849-857. doi: 10.1080/10810730.2017.1367336. Epub 2017 Sep 28.
9
Quantifying Network Dynamics and Information Flow Across Chinese Social Media During the African Ebola Outbreak.量化非洲埃博拉疫情期间中国社交媒体上的网络动态与信息流
Disaster Med Public Health Prep. 2018 Feb;12(1):26-37. doi: 10.1017/dmp.2017.29. Epub 2017 Aug 1.
10
Chinese Public Attention to the Outbreak of Ebola in West Africa: Evidence from the Online Big Data Platform.中国公众对西非埃博拉疫情的关注:来自在线大数据平台的证据
Int J Environ Res Public Health. 2016 Aug 4;13(8):780. doi: 10.3390/ijerph13080780.

引用本文的文献

1
TikTok Videos Related to the Posterior Cruciate Ligament Have Low Educational Value.与后交叉韧带相关的TikTok视频教育价值较低。
Arthrosc Sports Med Rehabil. 2025 Jan 30;7(3):101102. doi: 10.1016/j.asmr.2025.101102. eCollection 2025 Jun.
2
Challenges in Media Attention toward COVID-19-Preventive Behaviors: Dual Roles of Threat and Perceived Capability for Information Systems and Health Care.媒体对新冠肺炎预防行为关注的挑战:信息系统和医疗保健中威胁与感知能力的双重作用
Behav Sci (Basel). 2024 Apr 30;14(5):377. doi: 10.3390/bs14050377.
3
What influences trust in and understanding of clinical trials? An analysis of information and communication technology use and online health behavior from the Health Information National Trends Survey.
哪些因素会影响对临床试验的信任和理解?基于健康信息国家趋势调查对信息通信技术使用情况和在线健康行为的分析。
Clin Trials. 2024 Feb;21(1):95-113. doi: 10.1177/17407745231204813. Epub 2023 Oct 31.
4
Public health agencies' use of social media for communication during pandemics: a scoping review of the literature.公共卫生机构在大流行期间利用社交媒体进行沟通:文献综述
Osong Public Health Res Perspect. 2023 Aug;14(4):235-251. doi: 10.24171/j.phrp.2023.0095. Epub 2023 Aug 9.
5
From pandemic to Plandemic: Examining the amplification and attenuation of COVID-19 misinformation on social media.从大流行到阴谋论:社交媒体上 COVID-19 错误信息的放大和衰减。
Soc Sci Med. 2023 Jul;328:115979. doi: 10.1016/j.socscimed.2023.115979. Epub 2023 May 22.
6
Changes in socioeconomic resources and mental health after the second COVID-19 wave (2020-2021): a longitudinal study in Switzerland.新冠疫情第二波(2020-2021 年)后社会经济资源与心理健康的变化:瑞士纵向研究。
Int J Equity Health. 2023 Mar 23;22(1):51. doi: 10.1186/s12939-023-01853-2.
7
Public engagement in government officials' posts on social media during coronavirus lockdown.新冠疫情封锁期间政府官员在社交媒体上的公众参与度
PLoS One. 2023 Jan 23;18(1):e0280889. doi: 10.1371/journal.pone.0280889. eCollection 2023.
8
Relationship cultivation and public engagement via social media during the covid-19 pandemic in China.中国新冠疫情期间通过社交媒体进行关系培养与公众参与
Public Relat Rev. 2021 Nov;47(4):102064. doi: 10.1016/j.pubrev.2021.102064. Epub 2021 May 16.
9
Motivational Influences Affecting Middle-Aged and Elderly Users' Participation Intention in Health-Related Social Media.激励因素对中年和老年用户参与健康相关社交媒体意愿的影响。
Int J Environ Res Public Health. 2022 Sep 7;19(18):11240. doi: 10.3390/ijerph191811240.
10
Analyzing Public Opinion and Misinformation in a COVID-19 Telegram Group Chat.分析新冠疫情期间Telegram群组聊天中的公众舆论与错误信息
IEEE Internet Comput. 2020 Dec 11;25(2):84-91. doi: 10.1109/MIC.2020.3040516. eCollection 2021 Mar.