Journal ArticleDOI
Communicating on Twitter during a disaster
TLDR
In this paper, a typology of Twitter use before, during, and after Typhoon Haiyan was tested and the results showed that different stakeholders used social media mostly for dissemination of second-hand information, in coordinating relief efforts, and in memorializing those affected.About:
This article is published in Computers in Human Behavior.The article was published on 2015-09-01. It has received 244 citations till now. The article focuses on the topics: Social media & Social media optimization.read more
Citations
More filters
Journal ArticleDOI
Characterizing the Propagation of Situational Information in Social Media During COVID-19 Epidemic: A Case Study on Weibo
Lifang Li,Qingpeng Zhang,Xiao Wang,Jun Zhang,Tao Wang,Tianlu Gao,Wei Duan,Kelvin K.F. Tsoi,Fei-Yue Wang +8 more
TL;DR: This article sought to fill the gap by harnessing Weibo data and natural language processing techniques to classify the COVID-19-related information into seven types of situational information and found specific features in predicting the reposted amount of each type of information.
Journal ArticleDOI
Social media for intelligent public information and warning in disasters: An interdisciplinary review
TL;DR: The author envisions the intelligent public information and warning in disaster based on social media, which has three functions: efficiently and effectively acquiring disaster situational awareness information, supporting self-organized peer-to-peer help activities, and enabling the disaster management agencies to hear from the public.
Journal ArticleDOI
Twitter as a tool for the management and analysis of emergency situations: A systematic literature review
TL;DR: A systematic literature review is conducted that provides an overview of the current state of research concerning the use of Twitter to emergencies management, as well as presents the challenges and future research directions.
Journal ArticleDOI
Automatic identification of eyewitness messages on twitter during disasters
TL;DR: This work investigates different types of sources on tweets related to eyewitnesses and classifies them into three types, observing that words related to perceptual senses tend to be present in direct eyewitness messages, whereas emotions, thoughts, and prayers are more common in indirect witnesses.
Journal ArticleDOI
Applications of artificial intelligence for disaster management
TL;DR: It is found that the majority of AI applications focus on the disaster response phase, and challenges to inspire the professional community to advance AI techniques for addressing them in future research are identified.
References
More filters
Journal ArticleDOI
Data mining and knowledge discovery: making sense out of data
TL;DR: Without a concerted effort to develop knowledge discovery techniques, organizations stand to forfeit much of the value from the data they currently collect and store.
Proceedings ArticleDOI
Microblogging during two natural hazards events: what twitter may contribute to situational awareness
TL;DR: Analysis of microblog posts generated during two recent, concurrent emergency events in North America via Twitter, a popular microblogging service, aims to inform next steps for extracting useful, relevant information during emergencies using information extraction (IE) techniques.
Journal ArticleDOI
Pandemics in the Age of Twitter: Content Analysis of Tweets during the 2009 H1N1 Outbreak
TL;DR: Twitter can be used for real-time content analysis and knowledge translation research, allowing health authorities to respond to public concerns, and illustrates the potential of using social media to conduct “infodemiology” studies for public health.
Proceedings ArticleDOI
Twitter under crisis: can we trust what we RT?
TL;DR: The behavior of Twitter users under an emergency situation is explored and it is shown that it is posible to detect rumors by using aggregate analysis on tweets, and that the propagation of tweets that correspond to rumors differs from tweets that spread news.
Journal ArticleDOI
Twitter adoption and use in mass convergence and emergency events
Amanda Lee Hughes,Leysia Palen +1 more
TL;DR: The findings suggest that Twitter messages sent during these types of events contain more displays of information broadcasting and brokerage, and that general Twitter use seems to have evolved over time to offer more of an information-sharing purpose.