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Related papers: Finding Eyewitness Tweets During Crises

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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

There has been much effort on studying how social media sites, such as Twitter, help propagate information in different situations, including spreading alerts and SOS messages in an emergency. However, existing work has not addressed how to…

Social and Information Networks · Computer Science 2014-07-15 Kyumin Lee , Jalal Mahmud , Jilin Chen , Michelle Zhou , Jeffrey Nichols

The extensive use of social media platforms, especially during disasters, creates unique opportunities for humanitarian organizations to gain situational awareness and launch relief operations accordingly. In addition to the textual…

Computers and Society · Computer Science 2017-04-11 Dat Tien Nguyen , Firoj Alam , Ferda Ofli , Muhammad Imran

The analysis of natural disaster-related multimedia content got great attention in recent years. Being one of the most important sources of information, social media have been crawled over the years to collect and analyze disaster-related…

Information Retrieval · Computer Science 2019-01-15 Naina Said , Kashif Ahmad , Michael Regular , Konstantin Pogorelov , Laiq Hassan , Nasir Ahmad , Nicola Conci

Countless disasters have resulted from climate change, causing severe damage to infrastructure and the economy. These disasters have significant societal impacts, necessitating mental health services for the millions affected. To prepare…

Information Retrieval · Computer Science 2024-08-22 Thomas Hoang , Quynh Anh Nguyen , Long Nguyen

During sudden onset crisis events, the presence of spam, rumors and fake content on Twitter reduces the value of information contained on its messages (or "tweets"). A possible solution to this problem is to use machine learning to…

Cryptography and Security · Computer Science 2015-02-02 Aditi Gupta , Ponnurangam Kumaraguru , Carlos Castillo , Patrick Meier

The task of detecting regionalisms (expressions or words used in certain regions) has traditionally relied on the use of questionnaires and surveys, and has also heavily depended on the expertise and intuition of the surveyor. The irruption…

Computation and Language · Computer Science 2019-07-11 Juan Manuel Pérez , Damián E. Aleman , Santiago N. Kalinowski , Agustín Gravano

Social media platforms such as Twitter, Facebook etc can be utilised as an important source of information during disaster events. This information can be used for disaster response and crisis management if processed accurately and quickly.…

Machine Learning · Computer Science 2021-07-02 Aman Priyanshu , Mudit Sinha , Shreyans Mehta

Social media platforms provide active communication channels during mass convergence and emergency events such as disasters caused by natural hazards. As a result, first responders, decision makers, and the public can use this information…

Social and Information Networks · Computer Science 2015-04-17 Muhammad Imran , Carlos Castillo , Fernando Diaz , Sarah Vieweg

Twitter is becoming an increasingly important platform for disseminating information during crisis situations, such as the COVID-19 pandemic. Effective crisis communication on Twitter can shape the public perception of the crisis, influence…

Social and Information Networks · Computer Science 2021-09-14 Gautam Kishore Shahi , Sünje Clausen , Stefan Stieglitz

The emergence of large stores of transactional data generated by increasing use of digital devices presents a huge opportunity for policymakers to improve their knowledge of the local environment and thus make more informed and better…

Computers and Society · Computer Science 2017-10-27 Graham McNeill , Jonathan Bright , Scott A. Hale

This paper studies for the first time the usage and propagation of hashtags in a new and fundamentally different type of social media that is i) without profiles and ii) location-based to only show nearby posted content. Our study is based…

Social and Information Networks · Computer Science 2019-03-12 Helge Reelfs , Timon Mohaupt , Oliver Hohlfeld , Niklas Henckell

Social media has revolutionized human communication and styles of interaction. Due to its easiness and effective medium, people share and exchange information, carry out discussion on various events, and express their opinions. For…

Social and Information Networks · Computer Science 2019-04-26 Muhammad Aslam Jarwar

Social media posts contain an abundant amount of information about public opinion on major events, especially natural disasters such as hurricanes. Posts related to an event, are usually published by the users who live near the place of the…

Social and Information Networks · Computer Science 2023-08-14 Songhui Yue , Jyothsna Kondari , Aibek Musaev , Randy K. Smith , Songqing Yue

In recent years, people spend a lot of time on social networks. They use social networks as a place to comment on personal or public events. Thus, a large amount of information is generated and shared daily in these networks. Using such a…

Social and Information Networks · Computer Science 2020-10-05 Parinaz Rahimizadeh , Mohammad Javad Shayegan

Traditional data sources on bushfire evacuation behaviour, such as quantitative surveys and manual observations have severe limitations. Mining social media data related to bushfire evacuations promises to close this gap by allowing the…

Social and Information Networks · Computer Science 2025-12-02 Junfeng Wu , Xiangmin Zhou , Erica Kuligowski , Dhirendra Singh , Enrico Ronchi , Max Kinateder

Applying natural language processing for mining and intelligent information access to tweets (a form of microblog) is a challenging, emerging research area. Unlike carefully authored news text and other longer content, tweets pose a number…

Computation and Language · Computer Science 2014-11-26 Leon Derczynski , Diana Maynard , Giuseppe Rizzo , Marieke van Erp , Genevieve Gorrell , Raphaël Troncy , Johann Petrak , Kalina Bontcheva

Online social media platforms, such as Twitter, are one of the most valuable sources of information during disaster events. Therefore, humanitarian organizations, government agencies, and volunteers rely on a summary of this information,…

Computation and Language · Computer Science 2023-05-22 Piyush Kumar Garg , Roshni Chakraborty , Srishti Gupta , Sourav Kumar Dandapat

During the unfolding of a crisis, it is crucial to determine its severity, yet access to reliable data is challenging. We investigate the relation between geolocated Tweet Intensity of initial COVID-19 related tweet at the beginning of the…

Physics and Society · Physics 2020-06-23 Jeremy Turiel , Delmiro Fernandez-Reyes , Tomaso Aste

The trends and reactions of the general public towards global events can be analyzed using data from social platforms, including Twitter. The number of tweets has been reported to help detect variations in communication traffic within…

Applications · Statistics 2024-06-05 Sneha Jha , Dharmendra Saraswat , Mark D. Ward
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