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Effective riverine flood forecasting at scale is hindered by a multitude of factors, most notably the need to rely on human calibration in current methodology, the limited amount of data for a specific location, and the computational…

People increasingly use social media to report emergencies, seek help or share information during disasters, which makes social networks an important tool for disaster management. To meet these time-critical needs, we present a weakly…

Computation and Language · Computer Science 2020-10-06 Wenlin Yao , Cheng Zhang , Shiva Saravanan , Ruihong Huang , Ali Mostafavi

Floods are among the most common and devastating natural hazards, imposing immense costs on our society and economy due to their disastrous consequences. Recent progress in weather prediction and spaceborne flood mapping demonstrated the…

Computer Vision and Pattern Recognition · Computer Science 2024-09-30 Brandon Victor , Mathilde Letard , Peter Naylor , Karim Douch , Nicolas Longépé , Zhen He , Patrick Ebel

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 networks enable users to freely communicate with each other and share their recent news, ongoing activities or views about different topics. As a result, they can be seen as a potentially viable source of information to understand…

Information Retrieval · Computer Science 2016-06-29 Fattane Zarrinkalam , Ebrahim Bagheri

In this paper, we present our methods for the MediaEval 2020 Flood Related Multimedia task, which aims to analyze and combine textual and visual content from social media for the detection of real-world flooding events. The task mainly…

Computer Vision and Pattern Recognition · Computer Science 2020-12-01 Naina Said , Kashif Ahmad , Asma Gul , Nasir Ahmad , Ala Al-Fuqaha

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

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,…

Forecasting social media activity can be of practical use in many scenarios, from understanding trends, such as which topics are likely to engage more users in the coming week, to identifying unusual behavior, such as coordinated…

Social and Information Networks · Computer Science 2022-10-13 Kin Wai Ng , Frederick Mubang , Lawrence O. Hall , John Skvoretz , Adriana Iamnitchi

Climate change is a major threat to humanity, and the actions required to prevent its catastrophic consequences include changes in both policy-making and individual behaviour. However, taking action requires understanding the effects of…

Tweet hashtags have the potential to improve the search for information during disaster events. However, there is a large number of disaster-related tweets that do not have any user-provided hashtags. Moreover, only a small number of tweets…

Information Retrieval · Computer Science 2020-01-07 Jishnu Ray Chowdhury , Cornelia Caragea , Doina Caragea

The first objective towards the effective use of microblogging services such as Twitter for situational awareness during the emerging disasters is discovery of the disaster-related postings. Given the wide range of possible disasters, using…

Computation and Language · Computer Science 2016-10-13 Shanshan Zhang , Slobodan Vucetic

With the development of the Internet, social media has become an important channel for posting disaster-related information. Analyzing attitudes hidden in these texts, known as sentiment analysis, is crucial for the government or relief…

Social and Information Networks · Computer Science 2020-05-29 Lingyu Meng , Zhijie Sasha Dong

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

Peatland fires and haze events are disasters with national, regional and international implications. The phenomena lead to direct damage to local assets, as well as broader economic and environmental losses. Satellite imagery is still the…

Social and Information Networks · Computer Science 2017-08-03 Mark Kibanov , Gerd Stumme , Imaduddin Amin , Jong Gun Lee

Climate change affects occurrences of floods and droughts worldwide. However, predicting climate impacts over individual watersheds is difficult, primarily because accurate hydrological forecasts require models that are calibrated to past…

Machine Learning · Computer Science 2019-12-02 Frederik Kratzert , Daniel Klotz , Johannes Brandstetter , Pieter-Jan Hoedt , Grey Nearing , Sepp Hochreiter

Although a lot of research has been done on utilising Online Social Media during disasters, there exists no system for a specific task that is critical in a post-disaster scenario -- identifying resource-needs and resource-availabilities in…

Social and Information Networks · Computer Science 2021-01-27 Kaustubh Hiware , Ritam Dutt , Sayan Sinha , Sohan Patro , Kripabandhu Ghosh , Saptarshi Ghosh

Natural disasters, such as floods, tornadoes, or wildfires, are increasingly pervasive as the Earth undergoes global warming. It is difficult to predict when and where an incident will occur, so timely emergency response is critical to…

Computer Vision and Pattern Recognition · Computer Science 2022-01-13 Ethan Weber , Dim P. Papadopoulos , Agata Lapedriza , Ferda Ofli , Muhammad Imran , Antonio Torralba

Reducing the spread of misinformation is challenging. AI-based fact verification systems offer a promising solution by addressing the high costs and slow pace of traditional fact-checking. However, the problem of how to effectively…

Human-Computer Interaction · Computer Science 2025-03-14 Huiyun Tang , Björn Rohles , Yuwei Chuai , Gabriele Lenzini , Anastasia Sergeeva

Social media has been a powerful tool and an integral part of communication, especially during natural disasters. Social media platforms help nonprofits in effective disaster management by disseminating crucial information to various…

Social and Information Networks · Computer Science 2022-10-21 Vivek Velivela , Chahat Raj , Muhammad Salman Tiwana , Raj Prasanna , Mahendra Samarawickrama , Mukesh Prasad
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