Between automation and interpretation: Using data visualization in social media analytics companies

Salla-Maaria Laaksonen, Juho Pääkkönen

Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

Abstract

This chapter explores the use of data visualizations in social media analytics companies. Drawing on a dataset of ethnographic field notes and thematic interviews in four Finnish social media analytics companies, we argue that data visualizations are crucially involved in how analytics-based knowledge claims become accepted by companies and their clients. Basing on previous research on visualizations in organizations and as a representational practice, we explore their role in social media analytics. We identify three practices of using visualizations, which we named simple-boxing, flatter-boxing and pretty boxing. We argue that these practices enable analysts to achieve the simultaneous aims of producing credible and valuable analytics in a context marked by high business promises.
Original languageEnglish
Title of host publicationData Visualization in Society
Place of PublicationAmsterdam
PublisherAmsterdam University Press
Number of pages16
ISBN (Electronic)978-90-4854-313-7
ISBN (Print)978-94-6372-290-2
DOIs
Publication statusPublished - 10 Apr 2020
MoE publication typeA3 Book section, Chapters in research books

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