Please use this identifier to cite or link to this item:
Title: Have we even solved the first 'big data challenge?' Practical issues concerning data collection and visual representation for social media analytics
Authors: Brooker, P
Barnett, J
Cribbin, T
Sharma, S
Keywords: Digital Methods;API rate;Social media analytic research
Issue Date: 2016
Publisher: Palgrave Macmillan UK
Citation: Digital Methods for Social Science: An Interdisciplinary Guide to Research Innovation, Editors: Roberts, S., Snee, H., Hine, C., Morey, Y., Watson, H., pp. 34- 50, (2016)
Abstract: The present chapter explores the technical and computational processes through which social media data is shaped into research findings. The authors make this argument by depicting the effects of two practical issues - API rate limiting in Twitter data collection and the use of spatial mapping algorithms in visualising those data - on resulting analyses. Such issues are not problematic to social media analytic research; rather, they can be used as resources for helping to characterise and understand the data at hand. Hence, the authors work to demonstrate the value in incorporating these reflexive analyses of technical and computational processes into our accounts; to advocate thinking in assemblages as a requirement for making analytic claims with 'big' social media data.
ISBN: 9781137453655
Appears in Collections:Dept of Computer Science Research Papers

Files in This Item:
File Description SizeFormat 
Fulltext.pdfFile is embargoed until 01/01/2019214.67 kBAdobe PDFView/Open

Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.