Data Quality Challenges in Twitter Content Analysis for Informing Policy Making in Health Care

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dc.contributor.authorSoto, Axel
dc.contributor.authorRyan, Cynthia
dc.contributor.authorPeña Silva, Fernando
dc.contributor.authorDas, Tapajyoti
dc.contributor.authorWolkowicz, Jacek
dc.contributor.authorMilios, Evangelos
dc.contributor.authorBrooks, Stephen
dc.date.accessioned2017-12-28T00:40:28Z
dc.date.available2017-12-28T00:40:28Z
dc.date.issued2018-01-03
dc.description.abstractSocial media platforms and microblogs have become popular fora where the general public expresses opinions and concerns on a variety of matters. As a result, private and public organizations have been looking into ways for finding, understanding and communicating insights extracted from this massive amount of text-based interconnected data. There are, however, important difficulties associated with the noisiness and reliability of the content that hinder the analysis of the data. This paper reports the main challenges found in a real-world experience with social media used as a source of data to support policy making and assessment. We also propose a set of strategies for the precise retrieval of data, the profiling of social media users, and the involvement of policy makers in the analytical process.
dc.format.extent10 pages
dc.identifier.doi10.24251/HICSS.2018.096
dc.identifier.isbn978-0-9981331-1-9
dc.identifier.urihttp://hdl.handle.net/10125/49983
dc.language.isoeng
dc.relation.ispartofProceedings of the 51st Hawaii International Conference on System Sciences
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectBig Data and Analytics: Pathways to Maturity
dc.subjectData Analysis, Data Quality, Twitter, Visual Analytics
dc.titleData Quality Challenges in Twitter Content Analysis for Informing Policy Making in Health Care
dc.typeConference Paper
dc.type.dcmiText

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