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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…

Computer Vision and Pattern Recognition · Computer Science 2020-11-19 Firoj Alam , Ferda Ofli , Muhammad Imran , Tanvirul Alam , Umair Qazi

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

Multimedia content in social media platforms provides significant information during disaster events. The types of information shared include reports of injured or deceased people, infrastructure damage, and missing or found people, among…

Computer Vision and Pattern Recognition · Computer Science 2020-04-27 Ferda Ofli , Firoj Alam , Muhammad Imran

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…

Computer Vision and Pattern Recognition · Computer Science 2020-08-24 Ethan Weber , Nuria Marzo , Dim P. Papadopoulos , Aritro Biswas , Agata Lapedriza , Ferda Ofli , Muhammad Imran , Antonio Torralba

Images shared on social media help crisis managers gain situational awareness and assess incurred damages, among other response tasks. As the volume and velocity of such content are typically high, real-time image classification has become…

Computer Vision and Pattern Recognition · Computer Science 2021-07-20 Firoj Alam , Tanvirul Alam , Muhammad Imran , Ferda Ofli

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…

Computer Vision and Pattern Recognition · Computer Science 2018-06-20 Xukun Li , Huaiyu Zhang , Doina Caragea , Muhammad Imran

This paper analyses social media data in multiple disaster-related collections of floods and heat waves in the UK. The proposed method uses machine learning classifiers based on deep bidirectional neural networks trained on benchmark…

Social and Information Networks · Computer Science 2022-03-17 Victor Ponce-López , Catalina Spataru

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…

Computer Vision and Pattern Recognition · Computer Science 2024-04-25 Ferda Ofli , Muhammad Imran , Umair Qazi , Julien Roch , Catherine Pennington , Vanessa J. Banks , Remy Bossu

Social media platforms such as Twitter, Facebook etc can be utilised as an important source of information during disaster events. This information can be used for disaster response and crisis management if processed accurately and quickly.…

Machine Learning · Computer Science 2021-07-02 Aman Priyanshu , Mudit Sinha , Shreyans Mehta

Rapid damage assessment is one of the core tasks that response organizations perform at the onset of a disaster to understand the scale of damage to infrastructures such as roads, bridges, and buildings. This work analyzes the usefulness of…

Social and Information Networks · Computer Science 2020-04-15 Muhammad Imran , Firoj Alam , Umair Qazi , Steve Peterson , Ferda Ofli

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…

Social and Information Networks · Computer Science 2025-06-10 Mohammadsepehr Karimiziarani

The increasing popularity of social networks and users' tendency towards sharing their feelings, expressions, and opinions in text, visual, and audio content, have opened new opportunities and challenges in sentiment analysis. While…

Computer Vision and Pattern Recognition · Computer Science 2020-09-08 Syed Zohaib Hassan , Kashif Ahmad , Steven Hicks , Paal Halvorsen , Ala Al-Fuqaha , Nicola Conci , Michael Riegler

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…

Computation and Language · Computer Science 2020-11-03 Evangelia Spiliopoulou , Salvador Medina Maza , Eduard Hovy , Alexander Hauptmann

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…

Information Retrieval · Computer Science 2017-05-08 Hien To , Sumeet Agrawal , Seon Ho Kim , Cyrus Shahabi

The advancement of deep learning technology has enabled us to develop systems that outperform any other classification technique. However, success of any empirical system depends on the quality and diversity of the data available to train…

Computer Vision and Pattern Recognition · Computer Science 2021-07-06 Fahim Faisal Niloy , Arif , Abu Bakar Siddik Nayem , Anis Sarker , Ovi Paul , M. Ashraful Amin , Amin Ahsan Ali , Moinul Islam Zaber , AKM Mahbubur Rahman

Social media plays a significant role in sharing essential information, which helps humanitarian organizations in rescue operations during and after disaster incidents. However, developing an efficient method that can provide rapid analysis…

Computer Vision and Pattern Recognition · Computer Science 2022-02-02 Soroor Shekarizadeh , Razieh Rastgoo , Saif Al-Kuwari , Mohammad Sabokrou

Social media have been widely exploited to detect and gather relevant information about opinions and events. However, the relevance of the information is very subjective and rather depends on the application and the end-users. In this…

Computer Vision and Pattern Recognition · Computer Science 2019-10-11 Syed Zohaib , Kashif Ahmad , Nicola Conci , Ala Al-Fuqaha

Social media has become an essential channel for posting disaster-related information, which provide governments and relief agencies real-time data for better disaster management. However, research in this field has not received sufficient…

Social and Information Networks · Computer Science 2021-07-13 Zhijie Sasha Dong , Lingyu Meng , Lauren Christenson , Lawrence Fulton

The success of a disaster relief and response process is largely dependent on timely and accurate information regarding the status of the disaster, the surrounding environment, and the affected people. This information is primarily provided…

Social and Information Networks · Computer Science 2017-09-11 Tahora H. Nazer , Guoliang Xue , Yusheng Ji , Huan Liu

Social media are more than just a one-way communication channel. Data can be collected, analyzed and contextualized to support disaster risk management. However, disaster management agencies typically use such added-value information to…

Social and Information Networks · Computer Science 2018-02-09 Markus Enenkel , Sofia Martinez Saenz , Denyse S. Dookie , Lisette Braman , Nick Obradovich , Yury Kryvasheyeu
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