• 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

灾害中的社交媒体流程:新兴技术应用的影响

Social media processes in disasters: Implications of emergent technology use.

作者信息

Murthy Dhiraj, Gross Alexander J

机构信息

Department of Journalism and Sociology, University of Texas at Austin, United States.

Department of Intermedia Arts, University of Maine at Orono, United States.

出版信息

Soc Sci Res. 2017 Mar;63:356-370. doi: 10.1016/j.ssresearch.2016.09.015. Epub 2016 Sep 28.

DOI:10.1016/j.ssresearch.2016.09.015
PMID:28202154
Abstract

This article seeks to extend social science scholarship on social media technology use during disruptive events. Though social media's role in times of crisis has been previously studied, much of this work tends to focus on first-responders and relief organizations. However, social media use during disasters tends to be decentralized and this organizational structure can promote different types of messages to top-down information systems. Using 142,786 geo-tagged tweets collected before and after Hurricane Sandy's US landfall as a case study, this article seeks to explore shifts in social media behavior during disruptive events and highlights that though Sandy disrupted routine life within Twitter, users responded to the disaster by employing humor, sharing photos, and checking into locations. We conclude that social media use during disruptive events is complex and understanding these nuanced behaviors is important across the social sciences.

摘要

本文旨在拓展关于社交媒体技术在破坏性事件中使用情况的社会科学学术研究。尽管此前已有研究探讨社交媒体在危机时期的作用,但其中大部分工作往往聚焦于第一响应者和救援组织。然而,灾害期间社交媒体的使用往往是分散的,这种组织结构能够将不同类型的信息传递给自上而下的信息系统。本文以飓风桑迪登陆美国前后收集的142,786条带有地理标签的推文为案例研究,旨在探究破坏性事件期间社交媒体行为的变化,并强调尽管桑迪扰乱了推特上的日常生活,但用户通过运用幽默、分享照片和签到地点等方式对灾难做出了回应。我们得出结论,破坏性事件期间社交媒体的使用情况较为复杂,理解这些细微的行为对于整个社会科学领域都很重要。

相似文献

1
Social media processes in disasters: Implications of emergent technology use.灾害中的社交媒体流程:新兴技术应用的影响
Soc Sci Res. 2017 Mar;63:356-370. doi: 10.1016/j.ssresearch.2016.09.015. Epub 2016 Sep 28.
2
Rapid assessment of disaster damage using social media activity.利用社交媒体活动快速评估灾害损失。
Sci Adv. 2016 Mar 11;2(3):e1500779. doi: 10.1126/sciadv.1500779. eCollection 2016 Mar.
3
Tweeting Supertyphoon Haiyan: Evolving Functions of Twitter during and after a Disaster Event.推特上的超级台风海燕:灾难事件期间及之后推特功能的演变
PLoS One. 2016 Mar 28;11(3):e0150190. doi: 10.1371/journal.pone.0150190. eCollection 2016.
4
Reaching the global community during disasters: findings from a content analysis of the organizational use of Twitter after the 2010 Haiti earthquake.灾难期间面向全球群体:对2010年海地地震后Twitter组织使用情况的内容分析结果
J Health Commun. 2015;20(6):687-96. doi: 10.1080/10810730.2015.1018566. Epub 2015 Apr 30.
5
A novel surveillance approach for disaster mental health.一种针对灾难心理健康的新型监测方法。
PLoS One. 2017 Jul 19;12(7):e0181233. doi: 10.1371/journal.pone.0181233. eCollection 2017.
6
E-Cigarette Surveillance With Social Media Data: Social Bots, Emerging Topics, and Trends.利用社交媒体数据进行电子烟监测:社交机器人、新兴话题及趋势
JMIR Public Health Surveill. 2017 Dec 20;3(4):e98. doi: 10.2196/publichealth.8641.
7
Codified Hashtags for Weather Warning on Twitter: an Italian Case Study.推特上天气预警的编码主题标签:一项意大利案例研究。
PLoS Curr. 2016 Jul 5;8:ecurrents.dis.967e71514ecb92402eca3bdc9b789529. doi: 10.1371/currents.dis.967e71514ecb92402eca3bdc9b789529.
8
Local emergency management's use of social media during disasters: a case study of Hurricane Irma.地方应急管理部门在灾害期间对社交媒体的使用:以飓风“艾尔玛”为例。
Disasters. 2023 Apr;47(2):247-266. doi: 10.1111/disa.12544. Epub 2022 Dec 16.
9
Social media and disasters: a functional framework for social media use in disaster planning, response, and research.社交媒体与灾难:社交媒体在灾难规划、应对及研究中的功能框架
Disasters. 2015 Jan;39(1):1-22. doi: 10.1111/disa.12092. Epub 2014 Sep 22.
10
Emergent social cohesion for coping with community disruptions in disasters.应对灾害中社区破坏的紧急社会凝聚力。
J R Soc Interface. 2020 Mar;17(164):20190778. doi: 10.1098/rsif.2019.0778. Epub 2020 Mar 4.

引用本文的文献

1
Examining hurricane-related social media topics longitudinally and at scale: A transformer-based approach.纵向大规模研究与飓风相关的社交媒体话题:一种基于Transformer的方法。
PLoS One. 2025 Jan 24;20(1):e0316852. doi: 10.1371/journal.pone.0316852. eCollection 2025.
2
Do news media and citizens have the same agenda on COVID-19? an empirical comparison of twitter posts.新闻媒体和公民在新冠疫情上的议程是否相同?推特帖子的实证比较
Technol Forecast Soc Change. 2021 Aug;169:120849. doi: 10.1016/j.techfore.2021.120849. Epub 2021 Apr 30.
3
Efficient and Reliable Geocoding of German Twitter Data to Enable Spatial Data Linkage to Official Statistics and Other Data Sources.
德国推特数据的高效可靠地理编码,以实现空间数据与官方统计及其他数据源的链接。
Front Sociol. 2022 Jun 9;7:910111. doi: 10.3389/fsoc.2022.910111. eCollection 2022.
4
The Evolving Field of Risk Communication.风险沟通领域的发展演进。
Risk Anal. 2020 Nov;40(S1):2240-2262. doi: 10.1111/risa.13615. Epub 2020 Oct 20.
5
Public Health Messaging During Extreme Smoke Events: Are We Hitting the Mark?极端烟雾事件期间的公共卫生信息传播:我们是否达到了目标?
Front Public Health. 2020 Sep 2;8:465. doi: 10.3389/fpubh.2020.00465. eCollection 2020.
6
Re-written narrative: transformation of the image of Ivan-chaj in Eastern Europe.改写后的叙述:东欧伊万茶形象的转变。
Heliyon. 2020 Aug 19;6(8):e04632. doi: 10.1016/j.heliyon.2020.e04632. eCollection 2020 Aug.
7
Disaster preparedness and cultural factors: a comparative study in Romania and Malta.灾难准备和文化因素:罗马尼亚和马耳他的比较研究。
Disasters. 2021 Jul;45(3):664-690. doi: 10.1111/disa.12433. Epub 2020 Nov 6.
8
The Impact of Social Media on Risk Communication of Disasters-A Comparative Study Based on Weibo Blogs Related to Tianjin Explosion and Typhoon Pigeon.社交媒体对灾害风险沟通的影响——基于微博博客的比较研究,以天津爆炸和台风“天鸽”为例。
Int J Environ Res Public Health. 2020 Jan 31;17(3):883. doi: 10.3390/ijerph17030883.
9
Social media usage patterns during natural hazards.社交媒体在自然灾害期间的使用模式。
PLoS One. 2019 Feb 13;14(2):e0210484. doi: 10.1371/journal.pone.0210484. eCollection 2019.
10
Leveraging Twitter to gauge evacuation compliance: Spatiotemporal analysis of Hurricane Matthew.利用推特评估疏散合规情况:飓风马修的时空分析
PLoS One. 2017 Jul 28;12(7):e0181701. doi: 10.1371/journal.pone.0181701. eCollection 2017.