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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

Natural disasters affect hundreds of millions of people worldwide every year. Early warning, humanitarian response and recovery mechanisms can be improved by using big data sources. Measuring the different dimensions of the impact of…

Computers and Society · Computer Science 2020-06-25 David Pastor-Escuredo , Yolanda Torres , Maria Martinez , Pedro J. Zufiria

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

Massive and diverse web data are increasingly vital for government disaster response, as demonstrated by the 2022 floods in New South Wales (NSW), Australia. This study examines how X (formerly Twitter) and public inquiry submissions…

Computation and Language · Computer Science 2025-05-26 Xian Gong , Paul X. McCarthy , Lin Tian , Marian-Andrei Rizoiu

Extreme weather events driven by climate change, such as wildfires, floods, and heatwaves, prompt significant public reactions on social media platforms. Analyzing the sentiment expressed in these online discussions can offer valuable…

Social and Information Networks · Computer Science 2025-10-14 Pouya Shaeri , Yasaman Mohammadpour , Alimohammad Beigi , Ariane Middel

Social media have the potential to provide timely information about emergency situations and sudden events. However, finding relevant information among millions of posts being posted every day can be difficult, and developing a data…

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

Natural hazards are becoming increasingly expensive as climate change and development are exposing communities to greater risks. Preparation and recovery are critical for climate change resilience, and social media are being used more and…

Social and Information Networks · Computer Science 2019-03-06 Meredith T. Niles , Benjamin F. Emery , Andrew J. Reagan , Peter Sheridan Dodds , Christopher M. Danforth

Due to their often unexpected nature, natural and man-made disasters are difficult to monitor and detect for journalists and disaster management response teams. Journalists are increasingly relying on signals from social media to detect…

Social and Information Networks · Computer Science 2017-09-11 Armineh Nourbakhsh , Quanzhi Li , Xiaomo Liu , Sameena Shah

During a disaster event, images shared on social media helps crisis managers gain situational awareness and assess incurred damages, among other response tasks. Recent advances in computer vision and deep neural networks have enabled the…

Computer Vision and Pattern Recognition · Computer Science 2020-11-19 Firoj Alam , Ferda Ofli , Muhammad Imran , Tanvirul Alam , Umair Qazi

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

Although social media provides a vibrant platform to discuss real-world events, the quantity of information generated can overwhelm decision making based on that information. By better understanding who is participating in information…

Social and Information Networks · Computer Science 2018-10-03 Rahul Pandey , Hemant Purohit , Jennifer Chan , Aditya Johri

Disaster prediction is one of the most critical tasks towards disaster surveillance and preparedness. Existing technologies employ different machine learning approaches to predict incoming disasters from historical environmental data.…

Computation and Language · Computer Science 2020-08-12 Hamada M. Zahera , Mohamed Ahmed Sherif , Axel Ngonga

Social media have become a valuable source for extracting data about societal crises and an important outlet to disseminate official information. Government agencies are increasingly turning to social media to use it as a mouthpiece in…

Computers and Society · Computer Science 2022-02-14 Ali Sercan Basyurt , Julian Marx , Stefan Stieglitz , Milad Mirbabaie

In recent years, social media has been widely explored as a potential source of communication and information in disasters and emergency situations. Several interesting works and case studies of disaster analytics exploring different…

Computation and Language · Computer Science 2023-01-03 Wisal Mukhtiar , Waliiya Rizwan , Aneela Habib , Yasir Saleem Afridi , Laiq Hasan , Kashif Ahmad

Social media plays a significant role in disaster management by providing valuable data about affected people, donations and help requests. Recent studies highlight the need to filter information on social media into fine-grained content…

Computation and Language · Computer Science 2021-05-20 Hamada M. Zahera , Rricha Jalota , Mohamed A. Sherif , Axel N. Ngomo

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

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

Floods of research and practical applications employ social media data for a wide range of public applications, including environmental monitoring, water resource managing, disaster and emergency response.Hydroinformatics can benefit from…

Social and Information Networks · Computer Science 2019-05-09 Yufeng Yu , Yuelong Zhu , Dingsheng Wan , Qun Zhao , Kai Shu , Huan Liu

In recent years, social media has become one of the most popular platforms for communication. These platforms allow users to report real-world incidents that might swiftly and widely circulate throughout the whole social network. A social…

Social and Information Networks · Computer Science 2025-06-10 Mohammadsepehr Karimiziarani