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Related papers: Social Media Analytics in Disaster Response: A Com…

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Disasters impact communities through interconnected social, spatial, and physical networks. Analyzing network dynamics is crucial for understanding resilience and recovery. We highlight six studies demonstrating how hazards and recovery…

Social and Information Networks · Computer Science 2025-02-27 Chia-Fu Liu , Ali Mostafavi

This paper introduces EQSA, an interactive exploratory tool for earthquake situational analytics using social media. EQSA is designed to support users to characterize the condition across the area around the earthquake zone, regarding…

Information Retrieval · Computer Science 2019-10-28 Huyen N. Nguyen , Tommy Dang

In recent years, social media has been widely explored as a potential source of communication and information in disasters and emergency situations. Several interesting works and case studies of disaster analytics exploring different…

Computation and Language · Computer Science 2023-01-03 Wisal Mukhtiar , Waliiya Rizwan , Aneela Habib , Yasir Saleem Afridi , Laiq Hasan , Kashif Ahmad

Post-hazard reconnaissance for natural disasters (e.g., earthquakes) is important for understanding the performance of the built environment, speeding up the recovery, enhancing resilience and making informed decisions related to current…

Computation and Language · Computer Science 2021-02-15 Alicia Y. Tsai , Selim Gunay , Minjune Hwang , Pengyuan Zhai , Chenglong Li , Laurent El Ghaoui , Khalid M. Mosalam

This article interrogates the techno-politics of crowdsourced data in the study of environmental hazards such as floods, storms, wildfires, and cyclones. We highlight some of the main debates around the use of citizen-generated data for…

Computers and Society · Computer Science 2021-12-23 Erich Wolff , Felipe Munoz

Social networks are widely used for information consumption and dissemination, especially during time-critical events such as natural disasters. Despite its significantly large volume, social media content is often too noisy for direct use…

Computation and Language · Computer Science 2021-04-09 Firoj Alam , Umair Qazi , Muhammad Imran , Ferda Ofli

Earthquakes have a deep impact on wide areas, and emergency rescue operations may benefit from social media information about the scope and extent of the disaster. Therefore, this work presents a text miningbased approach to collect and…

Computation and Language · Computer Science 2022-12-14 Zhe Zheng , Hong-Zheng Shi , Yu-Cheng Zhou , Xin-Zheng Lu , Jia-Rui Lin

Massive and diverse web data are increasingly vital for government disaster response, as demonstrated by the 2022 floods in New South Wales (NSW), Australia. This study examines how X (formerly Twitter) and public inquiry submissions…

Computation and Language · Computer Science 2025-05-26 Xian Gong , Paul X. McCarthy , Lin Tian , Marian-Andrei Rizoiu

Using social media data for statistical analysis of general population faces commonly two basic obstacles: firstly, social media data are collected for different objects than the population units of interest; secondly, the relevant measures…

Applications · Statistics 2019-05-03 Martina Patone , Li-Chun Zhang

Information from social media can provide essential information for emergency response during natural disasters in near real-time. However, it is difficult to identify the disaster-related posts among the large amounts of unstructured data…

Computation and Language · Computer Science 2024-08-20 David Hanny , Sebastian Schmidt , Bernd Resch

The ever-increase in the quality and quantity of data generated from day-to-day businesses operations in conjunction with the continuously imported related social data have made the traditional statistical approaches inadequate to tackle…

Computers and Society · Computer Science 2021-04-27 Bilal Abu-Salih , Pornpit Wongthongtham , Dengya Zhu , Kit Yan Chan , Amit Rudra

Time-critical analysis of social media streams is important for humanitarian organizations for planing rapid response during disasters. The \textit{crisis informatics} research community has developed several techniques and systems for…

Social and Information Networks · Computer Science 2021-04-20 Firoj Alam , Hassan Sajjad , Muhammad Imran , Ferda Ofli

Attribution of natural disasters/collective misfortune is a widely-studied political science problem. However, such studies are typically survey-centric or rely on a handful of experts to weigh in on the matter. In this paper, we explore…

Computers and Society · Computer Science 2020-01-07 Rupak Sarkar , Hirak Sarkar , Sayantan Mahinder , Ashiqur R. KhudaBukhsh

Novel data sensing and AI technologies are finding practical use in the analysis of crisis resilience, revealing the need to consider how responsible artificial intelligence (AI) practices can mitigate harmful outcomes and protect…

Social and Information Networks · Computer Science 2022-09-09 Cheng-Chun Lee , Tina Comes , Megan Finn , Ali Mostafavi

The use of social media as a means of communication has significantly increased over recent years. There is a plethora of information flow over the different topics of discussion, which is widespread across different domains. The ease of…

Social and Information Networks · Computer Science 2019-11-14 Ganesh Nalluru , Rahul Pandey , Hemant Purohit

Floods of research and practical applications employ social media data for a wide range of public applications, including environmental monitoring, water resource managing, disaster and emergency response.Hydroinformatics can benefit from…

Social and Information Networks · Computer Science 2019-05-09 Yufeng Yu , Yuelong Zhu , Dingsheng Wan , Qun Zhao , Kai Shu , Huan Liu

Social media plays a major role during and after major natural disasters (e.g., hurricanes, large-scale fires, etc.), as people ``on the ground'' post useful information on what is actually happening. Given the large amounts of posts, a…

Social and Information Networks · Computer Science 2020-01-01 Chidubem Arachie , Manas Gaur , Sam Anzaroot , William Groves , Ke Zhang , Alejandro Jaimes

Effective disaster response is critical for affected communities. Responders and decision-makers would benefit from reliable, timely measures of the issues impacting their communities during a disaster, and social media offers a potentially…

Social and Information Networks · Computer Science 2024-01-11 Zihui Ma , Lingyao Li , Libby Hemphill , Gregory B. Baecher , Yubai Yuan

Relevant and timely information collected from social media during crises can be an invaluable resource for emergency management. However, extracting this information remains a challenging task, particularly when dealing with social media…

Information Retrieval · Computer Science 2022-04-22 Fedor Vitiugin , Carlos Castillo

It is a challenging and complex task to acquire information from different regions of a disaster-affected area in a timely fashion. The extensive spread and reach of social media and networks allow people to share information in real-time.…

Social and Information Networks · Computer Science 2019-08-06 Md. Yasin Kabir , Sanjay Madria
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