Analysis of ZIKA Virus Tweets: Could Hadoop Platform Help in Global Health Management? Juric, Radmila Kim, Inhwa Panneerselvam, Hemalatha Tesanovic, Igor 2016-12-29T01:15:46Z 2016-12-29T01:15:46Z 2017-01-04
dc.description.abstract This paper investigates possibilities of enhancing everyday decision making in global health management, by looking at the power of twitter data and the use of big data platforms in order to collect and interpret excessive amounts of information generated in a short period of time. We use the scenario of the ZIKA virus because it has triggered a massive response through tweets and retweets. Our goal is to find out a) if we can make sense of twitter data in a global health scare and b) if information available on Twitter could help in the management and containment of the spread of the virus. The results of manual content analysis of selected tweets has been juxtaposed with the results of the manipulation of the same tweets through the Hadoop platform. We wanted to know which approach should be used for addressing public concerns about the ZIKA virus and answer a) and b) at the same time. Both approaches have their advantages and drawbacks. Therefore this paper should be used as an overview of options available for public health organizations, when they need to manipulate social media data in situations where we need to manage health on a global scale
dc.format.extent 10 pages
dc.identifier.doi 10.24251/HICSS.2017.395
dc.identifier.isbn 978-0-9981331-0-2
dc.language.iso eng
dc.relation.ispartof Proceedings of the 50th Hawaii International Conference on System Sciences
dc.rights Attribution-NonCommercial-NoDerivatives 4.0 International
dc.subject ZIKA
dc.subject Twitter
dc.subject Hadoop
dc.subject content-analysis
dc.title Analysis of ZIKA Virus Tweets: Could Hadoop Platform Help in Global Health Management?
dc.type Conference Paper
dc.type.dcmi Text
Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
154.06 KB
Adobe Portable Document Format