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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…

Computation and Language · Computer Science 2016-08-16 Dat Tien Nguyen , Kamela Ali Al Mannai , Shafiq Joty , Hassan Sajjad , Muhammad Imran , Prasenjit Mitra

The extensive use of social media platforms, especially during disasters, creates unique opportunities for humanitarian organizations to gain situational awareness and launch relief operations accordingly. In addition to the textual…

Computers and Society · Computer Science 2017-04-11 Dat Tien Nguyen , Firoj Alam , Ferda Ofli , Muhammad Imran

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

Countless disasters have resulted from climate change, causing severe damage to infrastructure and the economy. These disasters have significant societal impacts, necessitating mental health services for the millions affected. To prepare…

Information Retrieval · Computer Science 2024-08-22 Thomas Hoang , Quynh Anh Nguyen , Long Nguyen

In a disaster situation, first responders need to quickly acquire situational awareness and prioritize response based on the need, resources available and impact. Can they do this based on digital media such as Twitter alone, or newswire…

Information Retrieval · Computer Science 2019-06-26 Rakesh Verma , Samaneh Karimi , Daniel Lee , Omprakash Gnawali , Azadeh Shakery

Traditional data sources on bushfire evacuation behaviour, such as quantitative surveys and manual observations have severe limitations. Mining social media data related to bushfire evacuations promises to close this gap by allowing the…

Social and Information Networks · Computer Science 2025-12-02 Junfeng Wu , Xiangmin Zhou , Erica Kuligowski , Dhirendra Singh , Enrico Ronchi , Max Kinateder

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…

Computation and Language · Computer Science 2023-10-24 Henry Peng Zou , Yue Zhou , Cornelia Caragea , Doina Caragea

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…

Social and Information Networks · Computer Science 2025-02-06 Lynnette Hui Xian Ng , Iain J. Cruickshank , David Farr

"Social sensing" is a form of crowd-sourcing that involves systematic analysis of digital communications to detect real-world events. Here we consider the use of social sensing for observing natural hazards. In particular, we present a case…

Human-Computer Interaction · Computer Science 2018-07-04 Rudy Arthur , Chris A. Boulton , Humphrey Shotton , Hywel T. P. Williams

During natural disasters, people often use social media platforms such as Twitter to ask for help, to provide information about the disaster situation, or to express contempt about the unfolding event or public policies and guidelines. This…

Computation and Language · Computer Science 2023-08-17 Tiberiu Sosea , Junyi Jessy Li , Cornelia Caragea

The work of Emergency Management (EM) agencies requires timely collection of relevant data to inform decision-making for operations and public communication before, during, and after a disaster. However, the limited human resources…

Human-Computer Interaction · Computer Science 2025-01-28 Hemant Purohit , Cody Buntain , Amanda Lee Hughes , Steve Peterson , Valerio Lorini , Carlos Castillo

Online social networks are increasingly being utilized for collective sense making and information processing in disasters. However, the underlying mechanisms that shape the dynamics of collective intelligence in online social networks…

Social and Information Networks · Computer Science 2024-12-24 Chao Fan , Fangsheng Wu , Ali Mostafavi

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

During disasters, extracting causal relations from social media can strengthen situational awareness by identifying factors linked to casualties, physical damage, infrastructure disruption, and cascading impacts. However, disaster-related…

Computation and Language · Computer Science 2026-05-13 Ujun Jeong , Saketh Vishnubhatla , Bohan Jiang , Andre Harrison , Adrienne Raglin , Huan Liu

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

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

Humanitarian disasters have been on the rise in recent years due to the effects of climate change and socio-political situations such as the refugee crisis. Technology can be used to best mobilize resources such as food and water in the…

Computation and Language · Computer Science 2019-07-17 Mayank Kejriwal , Peilin Zhou

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

Social media is often utilized as a lifeline for communication during natural disasters. Traditionally, natural disaster tweets are filtered from the Twitter stream using the name of the natural disaster and the filtered tweets are sent for…

Computation and Language · Computer Science 2022-07-12 Ramya Tekumalla , Juan M. Banda

Microblogging sites like Twitter and Weibo have emerged as important sourcesof real-time information on ongoing events, including socio-political events, emergency events, and so on. For instance, during emergency events (such as…

Information Retrieval · Computer Science 2017-07-20 Prannay Khosla , Moumita Basu , Kripabandhu Ghosh , Saptarshi Ghosh