Projekt per år
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.
Originalspråk | engelska |
---|---|
Titel på gästpublikation | Data Visualization in Society |
Redaktörer | Martin Engebretsen, Helen Kennedy |
Antal sidor | 15 |
Utgivningsort | Amsterdam |
Förlag | Amsterdam University Press |
Utgivningsdatum | 10 apr 2020 |
Sidor | 95-109 |
ISBN (tryckt) | 978-94-6372-290-2 |
ISBN (elektroniskt) | 978-90-4854-313-7 |
DOI | |
Status | Publicerad - 10 apr 2020 |
MoE-publikationstyp | A3 Del av bok eller annan forskningsbok |
Vetenskapsgrenar
- 512 Företagsekonomi
- 518 Medie- och kommunikationsvetenskap
Projekt
- 1 Slutfört
-
SSMA: Smarter Social Media Analytics
Laaksonen, S., Jauho, M., Salovaara, A., Pääkkönen, J., Kekkonen, A. & Pöyry, E.
01/12/2016 → 31/05/2018
Projekt: Forskningsprojekt