Is user-generated social media content useful for informing planning and management of emergency events? – An investigation of an active shooting event in a U.S. Airport

Bateman, Georgia; Haleem, Hassan Abdel; Majumdar, Arnab

doi:10.1016/j.cstp.2021.05.003

Cited by 4 publications

(3 citation statements)

References 42 publications

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“…A majority of the studies focusing on response assess the effectiveness of disaster authorities' social media uses amid a given crisis, scrutinizing communication strategies (Biernacka‐Ligieza, 2021; Splendiani & Capriello, 2022) as well as crisis information extraction techniques (Saroj & Pal, 2020). Many publications also investigate online attitudes and behaviors of affected populations (Chen et al, 2021), considering different types of social media users (Villodre & Criado, 2020) and showcasing the potential of crowdsourcing to improve situational awareness during a disaster (Bateman et al, 2021) and shape policy design (Rathore et al, 2021). In contrast, papers focusing on disaster preparedness take a deeper look at the capacity of DRM organizations to incorporate SMCS technologies into their operations (Behl et al, 2021), and address structural factors influencing or limiting organizational uses of SMCS technologies (Knox, 2023).…”

Section: Resultsmentioning

confidence: 99%

Social media and crowdsourcing in disaster risk management: Trends, gaps, and insights from the current state of research

Nielsen,

Landwehr,

Nicolaï

et al. 2024

Risk Hazard & Crisis Pub Pol

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Social media and crowdsourcing (SMCS) are increasingly used as tools to govern disasters. Nevertheless, we have a limited understanding of how these technologies support disaster risk management (DRM). Based on a comprehensive literature review of 237 papers, we present a state‐of‐the‐art of the research field linking SMCS with DRM. The paper provides insights into major trends in research published from 2008 to 2023. It maps the use of SMCS across disaster phases, disaster types, research design, and geographies before and after the coronavirus disease 2019 (COVID‐19) pandemic. Our results show that existing research predominantly focuses on preparedness and response activities. Moreover, research on SMCS tends to favor (single) case studies and secondary data, and despite a minor shift following the COVID‐19 pandemic, research is dominated by North America, South Asia, Australia, and Europe. There is very little research coming from severely disaster‐prone regions in the Global South on SMCS in disasters with a few exceptions. Research should focus on the power shifts that these technologies produce, the contexts in which they are supposed to be applied, and the sociocultural conditions that co‐produce, potentially vulnerable, outcomes of SMCS in disaster risk management.

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Section: Resultsmentioning

confidence: 99%

Social media and crowdsourcing in disaster risk management: Trends, gaps, and insights from the current state of research

Nielsen,

Landwehr,

Nicolaï

et al. 2024

Risk Hazard & Crisis Pub Pol

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“…The literature [39,113,114] utilized social media to create a near-real-time situation awareness tool for natural hazards, social security events, and public health events, respectively. Ref.…”

Section: Situation Awarenessmentioning

confidence: 99%

“…Ref. [114] created a framework for people who were at the airport during the Fort Lauderdale Hollywood airport shooting. Ref.…”

Section: Situation Awarenessmentioning

confidence: 99%

Contribution of Social Media Analytics to Disaster Response Effectiveness: A Systematic Review of the Literature

et al. 2023

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Disasters are sudden and catastrophic events with fatal consequences. Time-sensitive information collection from disaster zones is crucial for improved and data-driven disaster response. However, information collection from disaster zones in a prompt way is not easy or even possible. Human-centric information provided by citizen sensors through social media platforms create an opportunity for prompt information collection from disaster zones. There is, nevertheless, limited scholarly work that provides a comprehensive review on the potential of social media analytics for disaster response. This study utilizes a systematic literature review with PRISMA protocol to investigate the potential of social media analytics for enhanced disaster response. The findings of the systematic review of the literature pieces (n = 102) disclosed that (a) social media analytics in the disaster management research domain is an emerging field of research and practice; (b) the central focus on the research domain is on the utilization of social media data for disaster response to natural hazards, but the social media data-driven disaster response to human-made disasters is an increasing research focus; (c) human-centric information intelligence provided by social media analytics in disaster response mainly concentrates on collective intelligence, location awareness, and situation awareness, and (d) there is limited scholarly research investigating near-real-time transport network management aftermath disasters. The findings inform authorities’ decision-making processes as near-real time disaster response management depending on social media analytics is a critical element of securing sustainable cities and communities.

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A method for the dynamic collaboration of the public and experts in large-scale group emergency decision-making: Using social media data to evaluate the decision-making quality

Zhu

Pan

2023

Computers & Industrial Engineering

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Is user-generated social media content useful for informing planning and management of emergency events? – An investigation of an active shooting event in a U.S. Airport

Cited by 4 publications

References 42 publications

Social media and crowdsourcing in disaster risk management: Trends, gaps, and insights from the current state of research

Social media and crowdsourcing in disaster risk management: Trends, gaps, and insights from the current state of research

Contribution of Social Media Analytics to Disaster Response Effectiveness: A Systematic Review of the Literature

A method for the dynamic collaboration of the public and experts in large-scale group emergency decision-making: Using social media data to evaluate the decision-making quality

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