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The analysis of natural disasters such as floods in a timely manner often suffers from limited data due to coarsely distributed sensors or sensor failures. At the same time, a plethora of information is buried in an abundance of images of…

计算机视觉与模式识别 · 计算机科学 2020-11-12 Björn Barz , Kai Schröter , Ann-Christin Kra , Joachim Denzler

Social media can be used for disaster risk reduction as a complement to traditional information sources, and the literature has suggested numerous ways to achieve this. In the case of floods, for instance, data collection from social media…

社会与信息网络 · 计算机科学 2020-12-11 Valerio Lorini , Carlos Castillo , Domenico Nappo , Francesco Dottori , Peter Salamon

Floods are the most common and among the most severe natural disasters in many countries around the world. As global warming continues to exacerbate sea level rise and extreme weather, governmental authorities and environmental agencies are…

应用统计 · 统计学 2021-10-07 Lauren Ansell , Luciana Dalla Valle

Social media has become an important tool to share information about crisis events such as natural disasters and mass attacks. Detecting actionable posts that contain useful information requires rapid analysis of huge volume of data in…

计算与语言 · 计算机科学 2020-11-03 Evangelia Spiliopoulou , Salvador Medina Maza , Eduard Hovy , Alexander Hauptmann

Disaster events often unfold rapidly, necessitating a swift and effective response. Developing action plans, resource allocation, and resolution of help requests in disaster scenarios is time-consuming and complex since disaster-relevant…

计算机与社会 · 计算机科学 2024-09-04 Samia Abid , Bhupesh Kumar Mishra , Dhavalkumar Thakker , Nishikant Mishra

This study explores how different weather conditions influence public sentiment on social media, focusing on Twitter data from the UK. By considering climate and linguistic baselines, we improve the accuracy of weather-related sentiment…

人机交互 · 计算机科学 2024-07-11 James C. Young , Rudy Arthur , Hywel T. P. Williams

The shared real-time information about natural disasters on social media platforms like Twitter and Facebook plays a critical role in informing volunteers, emergency managers, and response organizations. However, supervised learning models…

计算与语言 · 计算机科学 2023-10-24 Henry Peng Zou , Yue Zhou , Cornelia Caragea , Doina Caragea

Emotion mining has become a crucial tool for understanding human emotions during disasters, leveraging the extensive data generated on social media platforms. This paper aims to summarize existing research on emotion mining within disaster…

计算与语言 · 计算机科学 2024-09-04 Soheil Shapouri , Saber Soleymani , Saed Rezayi

With Deep Learning Image Classification becoming more powerful each year, it is apparent that its introduction to disaster response will increase the efficiency that responders can work with. Using several Neural Network Models, including…

计算机视觉与模式识别 · 计算机科学 2020-05-13 Jianyu Mao , Kiana Harris , Nae-Rong Chang , Caleb Pennell , Yiming Ren

Responding to natural disasters, such as earthquakes, floods, and wildfires, is a laborious task performed by on-the-ground emergency responders and analysts. Social media has emerged as a low-latency data source to quickly understand…

计算机视觉与模式识别 · 计算机科学 2020-08-24 Ethan Weber , Nuria Marzo , Dim P. Papadopoulos , Aritro Biswas , Agata Lapedriza , Ferda Ofli , Muhammad Imran , Antonio Torralba

Social media has emerged as a valuable resource for disaster management, revolutionizing the way emergency response and recovery efforts are conducted during natural disasters. This review paper aims to provide a comprehensive analysis of…

社会与信息网络 · 计算机科学 2025-06-10 Mohammadsepehr Karimiziarani

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…

社会与信息网络 · 计算机科学 2024-01-11 Zihui Ma , Lingyao Li , Libby Hemphill , Gregory B. Baecher , Yubai Yuan

Traditional post-disaster assessment of damage heavily relies on expensive GIS data, especially remote sensing image data. In recent years, social media has become a rich source of disaster information that may be useful in assessing damage…

计算机视觉与模式识别 · 计算机科学 2018-06-20 Xukun Li , Huaiyu Zhang , Doina Caragea , Muhammad Imran

People increasingly use social media to report emergencies, seek help or share information during disasters, which makes social networks an important tool for disaster management. To meet these time-critical needs, we present a weakly…

计算与语言 · 计算机科学 2020-10-06 Wenlin Yao , Cheng Zhang , Shiva Saravanan , Ruihong Huang , Ali Mostafavi

Natural disasters, including earthquakes, wildfires and cyclones, bear a huge risk on human lives as well as infrastructure assets. An effective response to disaster depends on the ability to rapidly and efficiently assess the intensity of…

计算机与社会 · 计算机科学 2025-09-03 Aman Raj , Lakshit Arora , Sanjay Surendranath Girija , Shashank Kapoor , Dipen Pradhan , Ankit Shetgaonkar

Lack of global data inventories obstructs scientific modeling of and response to landslide hazards which are oftentimes deadly and costly. To remedy this limitation, new approaches suggest solutions based on citizen science that requires…

计算机视觉与模式识别 · 计算机科学 2024-04-25 Ferda Ofli , Muhammad Imran , Umair Qazi , Julien Roch , Catherine Pennington , Vanessa J. Banks , Remy Bossu

Online social networks allow different agencies and the public to interact and share the underlying risks and protective actions during major disasters. This study revealed such crisis communication patterns during hurricane Laura…

社会与信息网络 · 计算机科学 2024-04-01 Khondhaker Al Momin , H M Imran Kays , Arif Mohaimin Sadri

Although social media provides a vibrant platform to discuss real-world events, the quantity of information generated can overwhelm decision making based on that information. By better understanding who is participating in information…

社会与信息网络 · 计算机科学 2018-10-03 Rahul Pandey , Hemant Purohit , Jennifer Chan , Aditya Johri

The role of social media, in particular microblogging platforms such as Twitter, as a conduit for actionable and tactical information during disasters is increasingly acknowledged. However, time-critical analysis of big crisis data on…

计算与语言 · 计算机科学 2016-08-16 Dat Tien Nguyen , Kamela Ali Al Mannai , Shafiq Joty , Hassan Sajjad , Muhammad Imran , Prasenjit Mitra

Along with climate change, more frequent extreme events, such as flooding and tropical cyclones, threaten the livelihoods and wellbeing of poor and vulnerable populations. One of the most immediate needs of people affected by a disaster is…

机器学习 · 计算机科学 2021-08-10 Karla Saldana Ochoa , Tina Comes