Please use this identifier to cite or link to this item: http://hdl.handle.net/10125/49983

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

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Title:Data Quality Challenges in Twitter Content Analysis for Informing Policy Making in Health Care
Authors:Soto, Axel
Ryan, Cynthia
Peña Silva, Fernando
Das, Tapajyoti
Wolkowicz, Jacek
show 2 moreMilios, Evangelos
Brooks, Stephen
show less
Keywords:Big Data and Analytics: Pathways to Maturity
Data Analysis, Data Quality, Twitter, Visual Analytics
Date Issued:03 Jan 2018
Abstract:Social 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.
Pages/Duration:10 pages
URI:http://hdl.handle.net/10125/49983
ISBN:978-0-9981331-1-9
DOI:10.24251/HICSS.2018.096
Rights:Attribution-NonCommercial-NoDerivatives 4.0 International
https://creativecommons.org/licenses/by-nc-nd/4.0/
Appears in Collections: Big Data and Analytics: Pathways to Maturity


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