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Landslides pose a significant threat to public safety, but their dynamic processes are difficult to analyze from post-event observation alone. Computational simulation is therefore essential, but it generates vast, abstract datasets that…

Human-Computer Interaction · Computer Science 2026-04-21 Wong Kam-Kwai , Yi-Lin Ye , Wai Tong , Haobo Li , Kentaro Takahira , Aastha Bhatta , Sunil Poudyal , Charles Wang Wai Ng , Huamin Qu , Leni Yang

Social Media provides a trove of information that, if aggregated and analysed appropriately can provide important statistical indicators to policy makers. In some situations these indicators are not available through other mechanisms. For…

The ubiquity of social media makes it a rich source for physical event detection, such as disasters, and as a potential resource for crisis management resource allocation. There have been some recent works on leveraging social media sources…

Information Retrieval · Computer Science 2020-01-24 Abhijit Suprem , Calton Pu

The ability to track large-scale events as they happen is essential for understanding them and coordinating reactions in an appropriate and timely manner. This is true, for example, in emergency management and decision-making support, where…

Computers and Society · Computer Science 2022-06-28 Carlo Bono , Barbara Pernici

A vast amount of textual web streams is influenced by events or phenomena emerging in the real world. The social web forms an excellent modern paradigm, where unstructured user generated content is published on a regular basis and in most…

Machine Learning · Computer Science 2012-08-15 Vasileios Lampos

This paper describes a prototype system that integrates social media analysis into the European Flood Awareness System (EFAS). This integration allows the collection of social media data to be automatically triggered by flood risk warnings…

Information Retrieval · Computer Science 2019-04-25 V. Lorini , C. Castillo , F. Dottori , M. Kalas , D. Nappo , P. Salamon

After significant earthquakes, we can see images posted on social media platforms by individuals and media agencies owing to the mass usage of smartphones these days. These images can be utilized to provide information about the shaking…

Computer Vision and Pattern Recognition · Computer Science 2022-06-09 Gaurav Chachra , Qingkai Kong , Jim Huang , Srujay Korlakunta , Jennifer Grannen , Alexander Robson , Richard Allen

Timely and reliable sensing of infrastructure conditions is critical in disaster management for planning effective infrastructure restorations. Social media, a near real-time information source, has been widely used in disasters for forming…

Social and Information Networks · Computer Science 2021-03-02 Yudi Chen , Angel Umana , Chaowei Yang , Wenying JI

Disaster Management is one of the most promising research areas because of its significant economic, environmental and social repercussions. This research focuses on analyzing different types of data (pre and post satellite images and…

Machine Learning · Computer Science 2023-11-17 Sukeerthi Mandyam , Shanmuga Priya MG , Shalini Suresh , Kavitha Srinivasan

Social media has become a critical source of situational awareness during disasters, providing real-time insights into evolving impacts and emerging needs. To support crisis response at scale, recent work has increasingly leveraged large…

Computers and Society · Computer Science 2026-05-05 Timothy Douglas , Roben Delos Reyes , Asanobu Kitamoto

Accurate flood detection from visual data is a critical step toward improving disaster response and risk assessment, yet datasets for flood segmentation remain scarce due to the challenges of collecting and annotating large-scale imagery.…

Computer Vision and Pattern Recognition · Computer Science 2026-03-23 Georgios Simantiris , Konstantinos Bacharidis , Apostolos Papanikolaou , Petros Giannakakis , Costas Panagiotakis

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

Water events are the most frequent and costliest climate disasters around the world. In the U.S., an estimated 127 million people who live in coastal areas are at risk of substantial home damage from hurricanes or flooding. In flood…

Computer Vision and Pattern Recognition · Computer Science 2021-09-29 Bahareh Alizadeh , Diya Li , Zhe Zhang , Amir H. Behzadan

Social media platforms provide a continuous stream of real-time news regarding crisis events on a global scale. Several machine learning methods utilize the crowd-sourced data for the automated detection of crises and the characterization…

Machine Learning · Computer Science 2024-06-07 Angelie Kraft , Ricardo Usbeck

Today's social networks continuously generate massive streams of data, which provide a valuable starting point for the detection of rumours as soon as they start to propagate. However, rumour detection faces tight latency bounds, which…

Social and Information Networks · Computer Science 2022-05-16 Thanh Tam Nguyen , Thanh Trung Huynh , Hongzhi Yin , Matthias Weidlich , Thanh Thi Nguyen , Thai Son Mai , Quoc Viet Hung Nguyen

First responders are increasingly using social media to identify and reduce crime for well-being and safety of the society. Images shared on social media hurting religious, political, communal and other sentiments of people, often instigate…

Multimedia · Computer Science 2016-09-16 Sonal Goel , Niharika Sachdeva , Ponnurangam Kumaraguru , A V Subramanyam , Divam Gupta

It is a challenging and complex task to acquire information from different regions of a disaster-affected area in a timely fashion. The extensive spread and reach of social media and networks allow people to share information in real-time.…

Social and Information Networks · Computer Science 2019-08-06 Md. Yasin Kabir , Sanjay Madria

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

The use of social media as a means of communication has significantly increased over recent years. There is a plethora of information flow over the different topics of discussion, which is widespread across different domains. The ease of…

Social and Information Networks · Computer Science 2019-11-14 Ganesh Nalluru , Rahul Pandey , Hemant Purohit

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