Information exchange in virtual communities under extreme disaster conditions

Lu, Yilong; Yang, Dan

doi:10.1016/j.dss.2010.11.011

Cited by 129 publications

(122 citation statements)

References 37 publications

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“…This study applied descriptive statistics to work out the synergy proportion of three stages. The method described in Lu and Yang (Lu et al 2011) will be apply to factors and assessment analysis in the future.…”

Section: The Analysis Of Information Crowdsourcing Cloud For Disastermentioning

confidence: 99%

“…The data extracted were from "Morakot Typhoon disaster information map" and "Table for typhoon disaster information". In considering the content of data and the assessable feature, the assess models from Lu et al (Lu et al 2010) and Lu and Yang (Lu et al 2011) were taken as references to draw up this research model as shown in figure 2. Figure 2 The research model of this study…”

Section: The Analysis Of Information Crowdsourcing Cloud For Disastermentioning

confidence: 99%

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The Analysis of Information Crowdsourcing Cloud for Disaster Management: Case Studies of Taiwan Morakot Typhoon

Wang¹

2014

Proceedings of International Symposium on Grids and Clouds (ISGC) 2014 — PoS(ISGC2014)

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With the development of social networks, the mechanism of crowdsourcing is not limited to commercial application. In the event of disaster, information disseminated through social networks, and the mechanism of crowdsourcing thus is established. However, it is worth discussing whether the accuracy of the disaster information through the virtual community can be referred to the government agencies. This research extracted and analyzed the data from "the most serious disaster information in the major disaster information social network" of 2009 Taiwan Morakot typhoon. It also discussed the relevance and trust of crowdsourcing disaster information through extracting, comparing and analyzing. The result indicated that the disaster information extracted from the developed disaster information virtual community of the crowdsourcing mechanism was significant in its trust and relevance. It is recommended that the Federal Emergency Management Agency not only needs to pay attention on the information management of professional disaster prevention and protection along with the development and application of decision support system, bus also establishes virtual communities to manage professional social networks in peacetime. Thus, it can improve the efficiency on dealing with contingency or emergency through the diversification of information channels during calamity. The future studies of this research will focus on organizing the extracted database, introducing a complete evaluation model for trust analysis of disaster crowdsourcing information.

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Section: The Analysis Of Information Crowdsourcing Cloud For Disastermentioning

confidence: 99%

Section: The Analysis Of Information Crowdsourcing Cloud For Disastermentioning

confidence: 99%

The Analysis of Information Crowdsourcing Cloud for Disaster Management: Case Studies of Taiwan Morakot Typhoon

Wang¹

2014

Proceedings of International Symposium on Grids and Clouds (ISGC) 2014 — PoS(ISGC2014)

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“…Given the potent and dynamic capability of social networks in communicating and sharing information, using social networks for disaster management and recovery has recently attracted the attention of scholars and government agencies (Kapucu, 2006;Palen et al, 2007). Social networks allow for rapid pooling of information and knowledge to handle unexpected events (Lu and Yang, 2011) and offer flexible crisis intervention to address "irreducible uncertainty and imperfect knowledge" (Weick et al, 1999).…”

Section: Research Setting and Significancementioning

confidence: 99%

The dynamics of a virtual community during a natural disaster: a network analysis

Cao

Wan

et al. 2012

IJIEM

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Online discussion forums are computer-mediated social networks where individuals self-organise to help each other and share knowledge, advice, and perspectives about their common interests. The present study empirically examines the dynamics and changes to the properties and structure of an electronic network based on an online forum during a massive earthquake. This study found that the open, fluid electronic network allowed members easily to join and participate in the forum communication. The communication links and the numbers of initiators and repliers increased during the earthquake. We also found that network density and reciprocity decreased along with the network growth, while the average shortest path length increased. This research provides a framework to study dynamics and changes of electronic networks.

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“…Information overload transpires when there are high volumes of accessible information which may not be relevant or useful [10]. Often this occurs when information is not entirely related to a situation, is not targeted at individuals or networks, or is simply outdated [11,12]. Poor communication and uncoordinated dissemination from emergency responders may exacerbate these problems [13].…”

Section: Introductionmentioning

confidence: 99%

“…The uptake of crowdsourcing public information has in recent years offered emergency responders with valuable insight into disaster situations, as well as empowering the citizens who experience a disaster [8,19]. In such situations the challenges of information reliability and credibility are prominent [20]. The inability to verify information during crisis situations can be highly dangerous: especially as this may form the basis for emergency decision making processes, both for individuals and organisations, where poorly planned consequences may potentially be dire to citizens [2].…”

Section: Introductionmentioning

confidence: 99%

Social media during multi-hazard disasters: Lessons from the Kaikoura earthquake 2016

Gray¹,

Weal²,

Martin³

2017

Int. J. SAFE

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Social media provides channels of communication during emergency events such as earthquakes. Such sites may be utilised for a range of emergency response strategies providing that data is processed rapidly and management strategies employed effectively. The processing of social media data presents many challenges for emergency responders: information overload, organisational communication and information reliability remain prevalent issues. Furthermore, there is a growing need to improve the management of multi-hazard disasters (sometimes referred to as 'cascading disasters') due to an increase in their frequency and severity, exacerbated by underlying global problems such as climate change. This is especially important to geographical regions that are prone to particular hazards -New Zealand for instance recorded nearly 33,000 earthquakes in 2016 alone. Similarly, there is an increasing need to evaluate developments in technology and social media sites themselves as they are progressively being relied upon during emergency events. In this study, we examine the crisis communications of the Kaikoura earthquake (New Zealand, 2016) using mainstream media content such as new stories, and online content such as Twitter data. A mixed method approach was employed, which combined content analysis with the application of a conceptual framework. The paper then presents (i) an analysis of crisis communications during the event, focusing on changes in media content and theme, (ii) the structure of online emergency response in the country and its affect on management and (iii) the barriers effecting emergency response in this case study.

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Information exchange in virtual communities under extreme disaster conditions

Cited by 129 publications

References 37 publications

The Analysis of Information Crowdsourcing Cloud for Disaster Management: Case Studies of Taiwan Morakot Typhoon

The Analysis of Information Crowdsourcing Cloud for Disaster Management: Case Studies of Taiwan Morakot Typhoon

The dynamics of a virtual community during a natural disaster: a network analysis

Social media during multi-hazard disasters: Lessons from the Kaikoura earthquake 2016

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