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Twitter has become one of the main sources of news for many people. As real-world events and emergencies unfold, Twitter is abuzz with hundreds of thousands of stories about the events. Some of these stories are harmless, while others could…

Social and Information Networks · Computer Science 2016-06-21 Soroush Vosoughi , Deb Roy

Social media platforms provide continuous access to user generated content that enables real-time monitoring of user behavior and of events. The geographical dimension of such user behavior and events has recently caught a lot of attention…

Social and Information Networks · Computer Science 2021-09-21 Noora Al Emadi , Sofiane Abbar , Javier Borge-Holthoefer , Francisco Guzman , Fabrizio Sebastiani

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

Social media platforms such as Twitter and Facebook have become deeply embedded in our everyday life, offering a dynamic stream of localized news and personal experiences. The ubiquity of these platforms position them as valuable resources…

Information Retrieval · Computer Science 2025-08-07 Wenchuan Mu , Menglin Li , Kwan Hui Lim

The unprecedented use of social media through smartphones and other web-enabled mobile devices has enabled the rapid adoption of platforms like Twitter. Event detection has found many applications on the web, including breaking news…

Social and Information Networks · Computer Science 2014-05-07 Shamanth Kumar , Huan Liu , Sameep Mehta , L. Venkata Subramaniam

In times of emergency, crisis response agencies need to quickly and accurately assess the situation on the ground in order to deploy relevant services and resources. However, authorities often have to make decisions based on limited…

Computer Vision and Pattern Recognition · Computer Science 2024-01-08 Zijun Long , Richard McCreadie , Muhammad Imran

In times of crisis, the prompt and precise classification of disaster-related information shared on social media platforms is crucial for effective disaster response and public safety. During such critical events, individuals use social…

Computers and Society · Computer Science 2025-10-21 Shahid Shafi Dar , Mohammad Zia Ur Rehman , Karan Bais , Mohammed Abdul Haseeb , Nagendra Kumara

Automatic summarization of mass-emergency events plays a critical role in disaster management. The second edition of CrisisFACTS aims to advance disaster summarization based on multi-stream fact-finding with a focus on web sources such as…

Computation and Language · Computer Science 2024-02-15 Philipp Seeberger , Korbinian Riedhammer

Floods are among the most frequent and catastrophic natural disasters and affect millions of people worldwide. It is important to create accurate flood maps to plan (offline) and conduct (real-time) flood mitigation and flood rescue…

Computer Vision and Pattern Recognition · Computer Science 2020-07-15 P. Chaudhary , S. D'Aronco , J. P. Leitao , K. Schindler , J. D. Wegner

The impact of social media and its growing association with the sharing of ideas and propagation of messages remains vital in everyday communication. Twitter is one effective platform for the dissemination of news and stories about recent…

Information Retrieval · Computer Science 2017-02-12 Oluwaseun Ajao , Deepak P , Jun Hong

Social media such as Facebook and Twitter have proven to be a useful resource to understand public opinion towards real world events. In this paper, we investigate over 1.5 million Twitter messages (tweets) for the period 9th March 2011 to…

Social and Information Networks · Computer Science 2012-10-04 Son Doan , Bao-Khanh Ho Vo , Nigel Collier

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

Physical media (like surveillance cameras) and social media (like Instagram and Twitter) may both be useful in attaining on-the-ground information during an emergency or disaster situation. However, the intersection and reliability of both…

Social and Information Networks · Computer Science 2019-01-23 Chittayong Surakitbanharn , Calvin Yau , Guizhen Wang , Aniesh Chawla , Yinuo Pan , Zhaoya Sun , Sam Yellin , David Ebert , Yung-Hsiang Lu , George K. Thiruvathukal

Research on automatically geolocating social media users has conventionally been based on the text content of posts from a given user or the social network of the user, with very little crossover between the two, and no bench-marking of the…

Computation and Language · Computer Science 2015-06-17 Afshin Rahimi , Duy Vu , Trevor Cohn , Timothy Baldwin

Floods affected more than 2 billion people worldwide from 1998 to 2017 and their occurrence is expected to increase due to climate warming, population growth and rapid urbanization. Recent approaches for understanding the resilience of…

Physics and Society · Physics 2022-02-03 Simone Loreti , Enrico Ser-Giacomi , Andreas Zischg , Margreth Keiler , Marc Barthelemy

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

Social media users give rise to social trends as they share about common interests, which can be triggered by different reasons. In this work, we explore the types of triggers that spark trends on Twitter, introducing a typology with…

Information Retrieval · Computer Science 2014-03-07 Arkaitz Zubiaga , Damiano Spina , Raquel Martínez , Víctor Fresno

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

Floods are an increasingly common global threat, causing emergencies and severe damage to infrastructure. During crises, organisations such as the World Food Programme use remotely sensed imagery, typically obtained through drones, for…

Computer Vision and Pattern Recognition · Computer Science 2024-07-09 Vladyslav Polushko , Alexander Jenal , Jens Bongartz , Immanuel Weber , Damjan Hatic , Ronald Rösch , Thomas März , Markus Rauhut , Andreas Weinmann

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
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