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In large-scale emergencies social media has become a key source of information for public awareness, government authorities and relief agencies. However, the sheer volume of data and the low signal-to- noise ratio limit the effectiveness…

Social and Information Networks · Computer Science 2016-10-10 Wanita Sherchan , Shaila Pervin , Christopher J. Butler , Jennifer C. Lai

Social networking services have became an important communication channel in time of emergency. The aim of this study is to create a machine learning language model that is able to investigate if a person or area was in danger or not. The…

Computation and Language · Computer Science 2022-02-03 Anh Duc Le

Living in a changing climate, human society now faces more frequent and severe natural disasters than ever before. As a consequence, rapid disaster response during the "Golden 72 Hours" of search and rescue becomes a vital humanitarian…

Computer Vision and Pattern Recognition · Computer Science 2026-04-06 Hao Li , Liwei Zou , Wenping Yin , Gulsen Taskin , Naoto Yokoya , Danfeng Hong , Wufan Zhao

Recovering from crises, such as hurricanes or wildfires, is a complex process that can take weeks, months, or even decades to overcome. Crises have both acute (immediate) and chronic (long-term) effects on communities. Crisis informatics…

Social and Information Networks · Computer Science 2025-03-12 Casey Randazzo , Minkyung Kim , Melanie Kwestel , Marya L Doerfel , Tawfiq Ammari

We present longitudinal analysis of the evolution of inter-organizational disaster coordination networks during natural disasters. We suggest that social networks are a useful paradigm for exploring this complex phenomenon from both…

Social and Information Networks · Computer Science 2015-03-31 Alireza Abbasi , Liaquat Hossain , Naim Kapucu

After a natural disaster, such as a hurricane, millions are left in need of emergency assistance. To allocate resources optimally, human planners need to accurately analyze data that can flow in large volumes from several sources. This…

Computer Vision and Pattern Recognition · Computer Science 2022-06-22 Rohit Saha , Mengyi Fang , Angeline Yasodhara , Kyryl Truskovskyi , Azin Asgarian , Daniel Homola , Raahil Shah , Frederik Dieleman , Jack Weatheritt , Thomas Rogers

Social media has quickly grown into an essential tool for people to communicate and express their needs during crisis events. Prior work in analyzing social media data for crisis management has focused primarily on automatically identifying…

Social and Information Networks · Computer Science 2020-07-24 Swati Padhee , Tanay Kumar Saha , Joel Tetreault , Alejandro Jaimes

Timely and accurate assessment of hurricane-induced building damage is crucial for effective post-hurricane response and recovery efforts. Recently, remote sensing technologies provide large-scale optical or Interferometric Synthetic…

Thousands of human lives are lost every year around the globe, apart from significant damage on property, animal life, etc., due to natural disasters (e.g., earthquake, flood, tsunami, hurricane and other storms, landslides, cloudburst,…

Computers and Society · Computer Science 2016-11-01 Saptarsi Goswami , Sanjay Chakraborty , Sanhita Ghosh , Amlan Chakrabarti , Basabi Chakraborty

Very High Resolution (VHR) geospatial image analysis is crucial for humanitarian assistance in both natural and anthropogenic crises, as it allows to rapidly identify the most critical areas that need support. Nonetheless, manually…

With the development of the Internet, social media has become an important channel for posting disaster-related information. Analyzing attitudes hidden in these texts, known as sentiment analysis, is crucial for the government or relief…

Social and Information Networks · Computer Science 2020-05-29 Lingyu Meng , Zhijie Sasha Dong

After a disaster, teams of structural engineers collect vast amounts of images from damaged buildings to obtain new knowledge and extract lessons from the event. However, in many cases, the images collected are captured without sufficient…

Computer Vision and Pattern Recognition · Computer Science 2019-11-06 Ali Lenjani , Chul Min Yeum , Shirley Dyke , Ilias Bilionis

Critical infrastructure, such as transport networks, underpins economic growth by enabling mobility and trade. However, ageing assets, climate change impacts (e.g., extreme weather, rising sea levels), and hybrid threats ranging from…

Computers and Society · Computer Science 2025-07-03 Ubada El Joulani , Tatiana Kalganova , Stergios-Aristoteles Mitoulis , Sotirios Argyroudis

The speed of response by search and rescue teams at sea is of vital importance, as survival may depend on it. Recent technological advancements have led to the development of more efficient systems for locating individuals involved in a…

Computer Vision and Pattern Recognition · Computer Science 2025-02-17 Juan P. Martinez-Esteso , Francisco J. Castellanos , Jorge Calvo-Zaragoza , Antonio Javier Gallego

Natural disasters (e.g., hurricanes) affect millions of people each year, causing widespread destruction in their wake. People have recently taken to social media websites (e.g., Twitter) to share their sentiments and feelings with the…

Computation and Language · Computer Science 2020-04-30 Shrey Desai , Cornelia Caragea , Junyi Jessy Li

The rapid advancement of generative models in creating highly realistic images poses substantial risks for misinformation dissemination. For instance, a synthetic image, when shared on social media, can mislead extensive audiences and erode…

Computer Vision and Pattern Recognition · Computer Science 2025-06-27 Zhenglin Huang , Jinwei Hu , Xiangtai Li , Yiwei He , Xingyu Zhao , Bei Peng , Baoyuan Wu , Xiaowei Huang , Guangliang Cheng

Online social microblogging platforms including Twitter are increasingly used for aiding relief operations during disaster events. During most of the calamities that can be natural disasters or even armed attacks, non-governmental…

Information Retrieval · Computer Science 2018-10-30 Bhaskar Gautam , Annappa Basava

People involved in mass emergencies increasingly publish information-rich contents in online social networks (OSNs), thus acting as a distributed and resilient network of human sensors. In this work we present HERMES, a system designed to…

Human-Computer Interaction · Computer Science 2024-12-13 Marco Avvenuti , Salvatore Bellomo , Stefano Cresci , Leonardo Nizzoli , Maurizio Tesconi

Natural disasters demand rapid damage assessment to guide humanitarian response. Here, we investigate whether medium-resolution Earth observation images from the Copernicus program can support building damage assessment, complementing…

Computer Vision and Pattern Recognition · Computer Science 2026-03-25 Olivier Dietrich , Merlin Alfredsson , Emilia Arens , Nando Metzger , Torben Peters , Linus Scheibenreif , Jan Dirk Wegner , Konrad Schindler

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