Projects per year
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 language | English |
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Title of host publication | Data Visualization in Society |
Editors | Martin Engebretsen, Helen Kennedy |
Number of pages | 15 |
Place of Publication | Amsterdam |
Publisher | Amsterdam University Press |
Publication date | 10 Apr 2020 |
Pages | 95-109 |
ISBN (Print) | 978-94-6372-290-2 |
ISBN (Electronic) | 978-90-4854-313-7 |
DOIs | |
Publication status | Published - 10 Apr 2020 |
MoE publication type | A3 Book chapter |
Fields of Science
- 512 Business and Management
- 518 Media and communications
Projects
- 1 Finished
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SSMA: Smarter Social Media Analytics
Laaksonen, S.-M. (Project manager), Jauho, M. (Principal Investigator), Salovaara, A. (Principal Investigator), Pääkkönen, J. (Participant), Kekkonen, A. (Participant) & Pöyry, E. (Participant)
01/12/2016 → 31/05/2018
Project: Research project