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In recent years, artificial intelligence (AI) has deeply impacted various fields, including Earth system sciences. Here, AI improved weather forecasting, model emulation, parameter estimation, and the prediction of extreme events. However,…

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…

信息检索 · 计算机科学 2019-10-28 Huyen N. Nguyen , Tommy Dang

Social media such as tweets are emerging as platforms contributing to situational awareness during disasters. Information shared on Twitter by both affected population (e.g., requesting assistance, warning) and those outside the impact zone…

信息检索 · 计算机科学 2017-05-08 Hien To , Sumeet Agrawal , Seon Ho Kim , Cyrus Shahabi

Streaming social media provides a real-time glimpse of extreme weather impacts. However, the volume of streaming data makes mining information a challenge for emergency managers, policy makers, and disciplinary scientists. Here we explore…

Social media analysis of disaster events is a critical task in crisis informatics research. It involves analyzing social media data generated during natural disasters, crisis events, or other mass convergence events. Due to the large data…

软件工程 · 计算机科学 2020-07-09 Gerard Casas Saez

Media organisations are essential communication stakeholders in social media disaster communication during extreme events. They perform gatekeeper and amplification roles which are crucial for collective sense-making processes. In that…

社会与信息网络 · 计算机科学 2020-04-21 Julian Marx , Milad Mirbabaie , Christian Ehnis

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…

计算与语言 · 计算机科学 2022-02-03 Anh Duc Le

During natural and man-made disasters, people use social media platforms such as Twitter to post textual and multime- dia content to report updates about injured or dead people, infrastructure damage, and missing or found people among other…

社会与信息网络 · 计算机科学 2018-05-03 Firoj Alam , Ferda Ofli , Muhammad Imran

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…

社会与信息网络 · 计算机科学 2020-07-24 Swati Padhee , Tanay Kumar Saha , Joel Tetreault , Alejandro Jaimes

During and after disasters, highways provide vital routes for emergency services, relief efforts, and evacuation activities. Thus, a timely and reliable assessment of disaster impacts on highways is critical for decision-makers to quickly…

社会与信息网络 · 计算机科学 2019-09-10 Yudi Chen , Qi Wang , Wenying Ji

During recent years the online social networks (in particular Twitter) have become an important alternative information channel to traditional media during natural disasters, but the amount and diversity of messages poses the challenge of…

社会与信息网络 · 计算机科学 2015-03-20 Alfredo Cobo , Denis Parra , Jaime Navón

Social media is a primary medium for information diffusion during natural disasters. The social media ecosystem has been used to identify destruction, analyze opinions and organize aid. While the overall picture and aggregate trends may be…

社会与信息网络 · 计算机科学 2025-02-06 Lynnette Hui Xian Ng , Iain J. Cruickshank , David Farr

Earthquake is one of the natural disasters which cannot be either controlled or predicted absolutely. Since preventing earthquake is impossible, preventing its damages is also difficult. Unfortunately, after each earthquake and its…

网络与互联网体系结构 · 计算机科学 2023-01-10 Masoud Hayeri Khyavi

T\"urkiye is located on a fault line; earthquakes often occur on a large and small scale. There is a need for effective solutions for gathering current information during disasters. We can use social media to get insight into public…

计算与语言 · 计算机科学 2022-12-06 Özgür Agrali , Hakan Sökün , Enis Karaarslan

During a disaster event, images shared on social media helps crisis managers gain situational awareness and assess incurred damages, among other response tasks. Recent advances in computer vision and deep neural networks have enabled the…

计算机视觉与模式识别 · 计算机科学 2020-11-19 Firoj Alam , Ferda Ofli , Muhammad Imran , Tanvirul Alam , Umair Qazi

Social media platforms provide active communication channels during mass convergence and emergency events such as disasters caused by natural hazards. As a result, first responders, decision makers, and the public can use this information…

社会与信息网络 · 计算机科学 2015-04-17 Muhammad Imran , Carlos Castillo , Fernando Diaz , Sarah Vieweg

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…

社会与信息网络 · 计算机科学 2016-10-10 Wanita Sherchan , Shaila Pervin , Christopher J. Butler , Jennifer C. Lai

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…

社会与信息网络 · 计算机科学 2015-03-31 Alireza Abbasi , Liaquat Hossain , Naim Kapucu

Crisis response poses many of the most difficult information technology in crisis management. It requires information and communication-intensive efforts, utilized for reducing uncertainty, calculating and comparing costs and benefits, and…

人工智能 · 计算机科学 2008-06-10 Khaled M. Khalil , M. Abdel-Aziz , Taymour T. Nazmy , Abdel-Badeeh M. Salem

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…

社会与信息网络 · 计算机科学 2020-01-01 Chidubem Arachie , Manas Gaur , Sam Anzaroot , William Groves , Ke Zhang , Alejandro Jaimes