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Related papers: Natural Hazards Twitter Dataset

200 papers

Online social media platforms, such as Twitter, provide valuable information during disaster events. Existing tweet disaster summarization approaches provide a summary of these events to aid government agencies, humanitarian organizations,…

Computation and Language · Computer Science 2024-05-13 Piyush Kumar Garg , Roshni Chakraborty , Sourav Kumar Dandapat

Media organisations are essential communication stakeholders in social media disaster communication during extreme events. They perform gatekeeper and amplification roles which are crucial for collective sense-making processes. In that…

Social and Information Networks · Computer Science 2020-04-21 Julian Marx , Milad Mirbabaie , Christian Ehnis

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

The consequences of anthropogenic climate change are extensively debated through scientific papers, newspaper articles, and blogs. Newspaper articles may lack accuracy, while the severity of findings in scientific papers may be too opaque…

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

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

Catastrophic events create uncertain situations for humanitarian organizations locating and providing aid to affected people. Many people turn to social media during disasters for requesting help and/or providing relief to others. However,…

Computation and Language · Computer Science 2023-03-07 Irfan Ullah , Sharifullah Khan , Muhammad Imran , Young-Koo Lee

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

Social media has become an important tool to share information about crisis events such as natural disasters and mass attacks. Detecting actionable posts that contain useful information requires rapid analysis of huge volume of data in…

Computation and Language · Computer Science 2020-11-03 Evangelia Spiliopoulou , Salvador Medina Maza , Eduard Hovy , Alexander Hauptmann

Social media analysis of disaster events is a critical task in crisis informatics research. It involves analyzing social media data generated during natural disasters, crisis events, or other mass convergence events. Due to the large data…

Software Engineering · Computer Science 2020-07-09 Gerard Casas Saez

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

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

Sentiment analysis aims to extract and express a person's perception, opinions and emotions towards an entity, object, product and a service, enabling businesses to obtain feedback from the consumers. The increasing popularity of the social…

Computer Vision and Pattern Recognition · Computer Science 2020-02-11 Kashif Ahmad , Syed Zohaib , Nicola Conci , Ala Al-Fuqaha

Real-time social media data can provide useful information on evolving hazards. Alongside traditional methods of disaster detection, the integration of social media data can considerably enhance disaster management. In this paper, we…

Social and Information Networks · Computer Science 2023-01-31 Elena-Simona Apostol , Ciprian-Octavian Truică , Adrian Paschke

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

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

Climate change is increasing the frequency and severity of natural disasters worldwide. Media coverage of these events may be vital to generate empathy and mobilize global populations to address the common threat posed by climate change.…

General Economics · Economics 2025-01-15 Thiemo Fetzer , Prashant Garg

The Philippines is a common ground to natural calamities like typhoons, floods, volcanic eruptions and earthquakes. With Twitter as one of the most used social media platform in the Philippines, a total of 39,867 preprocessed tweets were…

Neural and Evolutionary Computing · Computer Science 2019-08-07 Joseph Marvin Imperial , Jeyrome Orosco , Shiela Mae Mazo , Lany Maceda

Multimedia content in social media platforms provides significant information during disaster events. The types of information shared include reports of injured or deceased people, infrastructure damage, and missing or found people, among…

Computer Vision and Pattern Recognition · Computer Science 2020-04-27 Ferda Ofli , Firoj Alam , Muhammad Imran

Social media is a primary medium for information diffusion during natural disasters. The social media ecosystem has been used to identify destruction, analyze opinions and organize aid. While the overall picture and aggregate trends may be…

Social and Information Networks · Computer Science 2025-02-06 Lynnette Hui Xian Ng , Iain J. Cruickshank , David Farr