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People often turn to social media to comment upon and share information about major global events. Accordingly, social media is receiving increasing attention as a rich data source for understanding people's social, political and economic…

Computers and Society · Computer Science 2020-09-14 Ancil Crayton , João Fonseca , Kanav Mehra , Michelle Ng , Jared Ross , Marcelo Sandoval-Castañeda , Rachel von Gnechten

Information flow during catastrophic events is a critical aspect of disaster management. Modern communication platforms, in particular online social networks, provide an opportunity to study such flow, and a mean to derive early-warning…

Social and Information Networks · Computer Science 2015-06-18 Yury Kryvasheyeu , Haohui Chen , Esteban Moro , Pascal Van Hentenryck , Manuel Cebrian

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…

Computer Vision and Pattern Recognition · Computer Science 2020-11-12 Björn Barz , Kai Schröter , Ann-Christin Kra , Joachim Denzler

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…

Computers and Society · Computer Science 2024-09-04 Samia Abid , Bhupesh Kumar Mishra , Dhavalkumar Thakker , Nishikant Mishra

Social media platforms provide a real-time lens into public sentiment during natural disasters; however, models built solely on textual data often reinforce urban-centric biases and overlook underrepresented communities. This paper…

Social and Information Networks · Computer Science 2026-02-20 Zihui Ma , Yiheng Chen , Runlong Yu , Afra Izzati Kamili , Fangqi Chen , Zhaoxi Zhang , Juan Li , Yuki Miura

Traditional disaster analysis and modelling tools for assessing the severity of a disaster are predictive in nature. Based on the past observational data, these tools prescribe how the current input state (e.g., environmental conditions,…

Machine Learning · Computer Science 2025-09-16 Saketh Vishnubhatla , Alimohammad Beigi , Rui Heng Foo , Umang Goel , Ujun Jeong , Bohan Jiang , Adrienne Raglin , Huan Liu

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

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

A timely and effective response is crucial to minimize damage and save lives during natural disasters like earthquakes. Microblogging platforms, particularly Twitter, have emerged as valuable real-time information sources for such events.…

Social and Information Networks · Computer Science 2025-03-24 Deep Patel , Panthadeep Bhattacharjee , Amit Reza , Priodyuti Pradhan

Social networks are widely used for information consumption and dissemination, especially during time-critical events such as natural disasters. Despite its significantly large volume, social media content is often too noisy for direct use…

Computation and Language · Computer Science 2021-04-09 Firoj Alam , Umair Qazi , Muhammad Imran , Ferda Ofli

Social media posts contain an abundant amount of information about public opinion on major events, especially natural disasters such as hurricanes. Posts related to an event, are usually published by the users who live near the place of the…

Social and Information Networks · Computer Science 2023-08-14 Songhui Yue , Jyothsna Kondari , Aibek Musaev , Randy K. Smith , Songqing Yue

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

Understanding how attitudes towards the Climate Emergency vary can hold the key to driving policy changes for effective action to mitigate climate related risk. The Oil and Gas industry account for a significant proportion of global…

Computation and Language · Computer Science 2021-01-27 Arman Sarjou

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…

Social and Information Networks · Computer Science 2015-03-20 Alfredo Cobo , Denis Parra , Jaime Navón

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

Many people use social media to seek information during disasters while lacking access to traditional information sources. In this study, we analyze Twitter data to understand information spreading activities of social media users during…

Social and Information Networks · Computer Science 2017-06-12 Arif Mohaimin Sadri , Samiul Hasan , Satish V. Ukkusuri , Manuel Cebrian

Disaster analysis in social media content is one of the interesting research domains having abundance of data. However, there is a lack of labeled data that can be used to train machine learning models for disaster analysis applications.…

Computer Vision and Pattern Recognition · Computer Science 2019-09-30 Naina Said , Kashif Ahmad , Nicola Conci , Ala Al-Fuqaha

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

Social networks can serve as a valuable communication channel for calls for help, offering assistance, and coordinating rescue activities in disaster. Social networks such as Twitter allow users to continuously update relevant information,…

Computation and Language · Computer Science 2020-08-25 Long Nguyen , Zhou Yang , Jia Li , Guofeng Cao , Fang Jin

Due to the rapid growth of social media platforms, these tools have become essential for monitoring information during ongoing disaster events. However, extracting valuable insights requires real-time processing of vast amounts of data. A…

Computation and Language · Computer Science 2025-11-14 Philipp Seeberger , Steffen Freisinger , Tobias Bocklet , Korbinian Riedhammer