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Social and Behavioral Sciences Commons™
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Full-Text Articles in Social and Behavioral Sciences
Assessing The Reliability Of Relevant Tweets And Validation Using Manual And Automatic Approaches For Flood Risk Communication, Xiaohui Liu, Bandana Kar, Francisco Alejandro Montiel Ishino, Chaoyang Zhang, Faustine Williams
Assessing The Reliability Of Relevant Tweets And Validation Using Manual And Automatic Approaches For Flood Risk Communication, Xiaohui Liu, Bandana Kar, Francisco Alejandro Montiel Ishino, Chaoyang Zhang, Faustine Williams
Faculty Publications
© 2020 by the authors. While Twitter has been touted as a preeminent source of up-to-date information on hazard events, the reliability of tweets is still a concern. Our previous publication extracted relevant tweets containing information about the 2013 Colorado flood event and its impacts. Using the relevant tweets, this research further examined the reliability (accuracy and trueness) of the tweets by examining the text and image content and comparing them to other publicly available data sources. Both manual identification of text information and automated (Google Cloud Vision, application programming interface (API)) extraction of images were implemented to balance accurate …
Assessing Relevance Of Tweets For Risk Communication, Xiaohui Liu, Bandana Kar, Chaoyang Zhang, David M. Cochran
Assessing Relevance Of Tweets For Risk Communication, Xiaohui Liu, Bandana Kar, Chaoyang Zhang, David M. Cochran
Faculty Publications
Although Twitter is used for emergency management activities, the relevance of tweets during a hazard event is still open to debate. In this study, six different computational (i.e. Natural Language Processing) and spatiotemporal analytical approaches were implemented to assess the relevance of risk information extracted from tweets obtained during the 2013 Colorado flood event. Primarily, tweets containing information about the flooding events and its impacts were analysed. Examination of the relationships between tweet volume and its content with precipitation amount, damage extent, and official reports revealed that relevant tweets provided information about the event and its impacts rather than any …