Revealing Unfairness in social media contributors’ attention to vulnerable urban areas during disasters

Zhang, Cheng; Yang, Yang; Mostafavi, Ali

doi:10.1016/j.ijdrr.2021.102160

Cited by 9 publications

(2 citation statements)

References 47 publications

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“…Collective intelligence can act as the control system of disaster response after a disaster by using the text classification systems to control the distribution of the resources needed by the public in the disaster zone [53][54][55][59][60][61]63,[68][69][70]72]. If there is any unfairness in the propagation of the resources in disaster response, it can be identified thanks to the collective intelligence provided by the disaster-affected public in the disaster zone [73], and reliability of actions taken for disaster response can also be identified by the participation patterns through the collective intelligence [74][75][76][77].…”

Section: Collective Intelligencementioning

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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Section: Collective Intelligencementioning

confidence: 99%

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

et al. 2023

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“…The use of social media for disaster warnings and post-disaster damage assessment may contain biases on gender, income level, and minority groups. 35 In other cases, the geospatial data used for DRM does not directly specify sensitive attributes but can indirectly capture information that is related to socio-economic or cultural groups. For example, the body of research on informal settlement mapping often relates the physical characteristics of buildings to the socio-economic status of its inhabitants.…”

Section: Potential Concerns Articulated By the Drm Communitymentioning

confidence: 99%

Fairness and accountability of AI in disaster risk management: Opportunities and challenges

et al. 2021

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Experiences of vulnerable households in low-attention disasters: Marshalltown, Iowa (United States) after the EF3 Tornado

Hamideh¹,

Sen²

2022

Global Environmental Change

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Revealing Unfairness in social media contributors’ attention to vulnerable urban areas during disasters

Cited by 9 publications

References 47 publications

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

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

Fairness and accountability of AI in disaster risk management: Opportunities and challenges

Experiences of vulnerable households in low-attention disasters: Marshalltown, Iowa (United States) after the EF3 Tornado

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