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

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Sammanfattning

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.
Originalspråkengelska
Titel på gästpublikationData Visualization in Society
RedaktörerMartin Engebretsen, Helen Kennedy
Antal sidor15
UtgivningsortAmsterdam
FörlagAmsterdam University Press
Utgivningsdatum10 apr 2020
Sidor95-109
ISBN (tryckt)978-94-6372-290-2
ISBN (elektroniskt)978-90-4854-313-7
DOI
StatusPublicerad - 10 apr 2020
MoE-publikationstypA3 Del av bok eller annan forskningsbok

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  • 512 Företagsekonomi
  • 518 Medie- och kommunikationsvetenskap

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