Crowd sourcing disaster management: The complex nature of Twitter usage in Padang Indonesia

被引:103
作者
Carley, Kathleen M. [1 ]
Malik, Momin [1 ]
Landwehr, Peter M. [1 ]
Pfeffer, Juergen [1 ]
Kowalchuck, Michael [1 ]
机构
[1] Carnegie Mellon Univ, Inst Software Res, Sch Comp Sci, 5000 Forbes Ave, Pittsburgh, PA 15213 USA
基金
美国国家科学基金会;
关键词
Social media; Twitter; Dynamic network analysis; Social network analysis; Disaster management; Big data; COMPUTER; ADOPTION; CRISIS;
D O I
10.1016/j.ssci.2016.04.002
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Social media is playing a growing role in disaster management and response. Expectations are that such media can be, critical for sending alerts, identifying critical needs, and focusing response. However, for social media to be used in that way, it will be necessary to understand how social media is used during normal, i.e., non-disaster periods. Herein we examine the use of a particular social media, Twitter, and assess its value for disaster management with a focus on planning and early warnings. Our focus is Padang Indonesia, and the potential use of Twitter to support tsunami warning and response. We assess alternative collection strategies and analyze Twitter usage under normal conditions and then use this information to identify the strengths and weaknesses of this data in supporting disaster planning and early warning in terms of coverage, spatio-temporal patterns, and identification of opinion leaders. We find that while one can potentially leverage Twitter for disaster management, careful collection, assessment, and coordination with official disaster Twitter sites and local on-scene Twitter opinion leaders will be critical from a preparedness and early warning perspective. Guidelines for harnessing Twitter data for such uses are provided. (C) 2016 Elsevier Ltd. All rights reserved.
引用
收藏
页码:48 / 61
页数:14
相关论文
共 84 条
  • [51] Many Clicks but Little Sticks: Social Media Activism in Indonesia[J]. Lim, Merlyna. JOURNAL OF CONTEMPORARY ASIA, 2013(04)
  • [52] Mackay H., 1995, INFORM TECHNOLOGY SO, P41
  • [53] Home Location Identification of Twitter Users[J]. Mahmud, Jalal;Nichols, Jeffrey;Drews, Clemens. ACM TRANSACTIONS ON INTELLIGENT SYSTEMS AND TECHNOLOGY, 2014(03)
  • [54] Malik Momin M, 2015, 9 INT AAAI C WEB SOC, DOI DOI 10.1609/ICWSM.V9I4.14688
  • [55] I tweet honestly, I tweet passionately: Twitter users, context collapse, and the imagined audience[J]. Marwick, Alice E.;Boyd, Danah. NEW MEDIA & SOCIETY, 2011(01)
  • [56] Does industrialization build or destroy social networks?[J]. Miguel, E;Gertler, P;Levine, DI. ECONOMIC DEVELOPMENT AND CULTURAL CHANGE, 2006(02)
  • [57] Ming Fai Wong F, 2012, WHY WATCHING MOVIE T
  • [58] Hope for Haiti: An analysis of Facebook and Twitter usage during the earthquake relief efforts[J]. Muralidharan, Sidharth;Rasmussen, Leslie;Patterson, Daniel;Shin, Jae-Hwa. PUBLIC RELATIONS REVIEW, 2011(02)
  • [59] OConnor B., 2010, P AAAI C WEBL SOC ME
  • [60] Palen L, 2010, ACM 2010 C VIS COMP