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

Salla-Maaria Laaksonen; Juho Pääkkönen

doi:10.5117/9789463722902_ch06

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

Tutkimustuotos: Artikkeli kirjassa/raportissa/konferenssijulkaisussa › Kirjan luku tai artikkeli › Tieteellinen › vertaisarvioitu

Abstrakti

Alkuperäiskieli	englanti
Otsikko	Data Visualization in Society
Toimittajat	Martin Engebretsen, Helen Kennedy
Sivumäärä	15
Julkaisupaikka	Amsterdam
Kustantaja	Amsterdam University Press
Julkaisupäivä	10 huhtikuuta 2020
Sivut	95-109
ISBN (painettu)	978-94-6372-290-2
ISBN (elektroninen)	978-90-4854-313-7
DOI - pysyväislinkit	https://doi.org/10.5117/9789463722902_ch06
Tila	Julkaistu - 10 huhtikuuta 2020
OKM-julkaisutyyppi	A3 Kirjan tai muun kokoomateoksen osa

Tieteenalat

512 Liiketaloustiede
518 Media- ja viestintätieteet

Pääsy asiakirjaan

10.5117/9789463722902_ch06Lisenssi: CC BY-NC-ND

http://oapen.org/search?identifier=1007903Lisenssi: CC BY-NC-ND

Projektit

1 Päättynyt

SSMA: Smarter Social Media Analytics

Laaksonen, S., Jauho, M., Salovaara, A., Pääkkönen, J., Kekkonen, A. & Pöyry, E.

01/12/2016 → 31/05/2018

Projekti: Tutkimusprojekti

Siteeraa tätä

Laaksonen, S-M., & Pääkkönen, J. (2020). Between automation and interpretation: Using data visualization in social media analytics companies. teoksessa M. Engebretsen, & H. Kennedy (Toimittajat), Data Visualization in Society (Sivut 95-109). Amsterdam University Press. https://doi.org/10.5117/9789463722902_ch06

@inbook{b9c928a1b35d46bbaf023a968c0ab8a0,

title = "Between automation and interpretation: Using data visualization in social media analytics companies",

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.",

keywords = "512 Business and Management, 518 Media and communications",

author = "Salla-Maaria Laaksonen and Juho P{\"a}{\"a}kk{\"o}nen",

year = "2020",

month = apr,

day = "10",

doi = "10.5117/9789463722902_ch06",

language = "English",

isbn = "978-94-6372-290-2",

pages = "95--109",

editor = "Martin Engebretsen and Helen Kennedy",

booktitle = "Data Visualization in Society",

publisher = "Amsterdam University Press",

address = "Netherlands",

}

Between automation and interpretation : Using data visualization in social media analytics companies. / Laaksonen, Salla-Maaria ; Pääkkönen, Juho.

Data Visualization in Society. toim. / Martin Engebretsen; Helen Kennedy. Amsterdam : Amsterdam University Press, 2020. s. 95-109.

Tutkimustuotos: Artikkeli kirjassa/raportissa/konferenssijulkaisussa › Kirjan luku tai artikkeli › Tieteellinen › vertaisarvioitu

TY - CHAP

T1 - Between automation and interpretation

T2 - Using data visualization in social media analytics companies

AU - Laaksonen, Salla-Maaria

AU - Pääkkönen, Juho

PY - 2020/4/10

Y1 - 2020/4/10

N2 - 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.

AB - 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.

KW - 512 Business and Management

KW - 518 Media and communications

U2 - 10.5117/9789463722902_ch06

DO - 10.5117/9789463722902_ch06

M3 - Chapter

SN - 978-94-6372-290-2

SP - 95

EP - 109

BT - Data Visualization in Society

A2 - Engebretsen, Martin

A2 - Kennedy, Helen

PB - Amsterdam University Press

CY - Amsterdam

ER -