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Conceptualizing Big Social Data

Tutkimustuotosvertaisarvioitu

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Conceptualizing Big Social Data. / Olshannikova, Ekaterina; Olsson, Thomas; Huhtamäki, Jukka; Kärkkäinen, Hannu.

julkaisussa: Journal of Big Data, Vuosikerta 4, Nro 1, 25.01.2017.

Tutkimustuotosvertaisarvioitu

Harvard

Olshannikova, E, Olsson, T, Huhtamäki, J & Kärkkäinen, H 2017, 'Conceptualizing Big Social Data', Journal of Big Data, Vuosikerta. 4, Nro 1. https://doi.org/10.1186/s40537-017-0063-x

APA

Vancouver

Olshannikova E, Olsson T, Huhtamäki J, Kärkkäinen H. Conceptualizing Big Social Data. Journal of Big Data. 2017 tammi 25;4(1). https://doi.org/10.1186/s40537-017-0063-x

Author

Olshannikova, Ekaterina ; Olsson, Thomas ; Huhtamäki, Jukka ; Kärkkäinen, Hannu. / Conceptualizing Big Social Data. Julkaisussa: Journal of Big Data. 2017 ; Vuosikerta 4, Nro 1.

Bibtex - Lataa

@article{e97377ee99494838ab6c298c18e70d3b,
title = "Conceptualizing Big Social Data",
abstract = "The popularity of social media and computer-mediated communication has resulted in high-volume and highly semantic data about digital social interactions. This constantly accumulating data has been termed as Big Social Data or Social Big Data, and various visions about how to utilize that have been presented. However, as relatively new concepts, there are no solid and commonly agreed definitions of them. We argue that the emerging research field around these concepts would benefit from understanding about the very substance of the concept and the different viewpoints to it. With our review of earlier research, we highlight various perspectives to this multi-disciplinary field and point out conceptual gaps, the diversity of perspectives and lack of consensus in what Big Social Data means. Based on detailed analysis of related work and earlier conceptualizations, we propose a synthesized definition of the term, as well as outline the types of data that Big Social Data covers. With this, we aim to foster future research activities around this intriguing, yet untapped type of Big Data.",
keywords = "Big Social Data, Social Big Data, Digital human, Conceptualization, Social Data, Social Media, computational social science, Social computing, Big Social Data analysis",
author = "Ekaterina Olshannikova and Thomas Olsson and Jukka Huhtam{\"a}ki and Hannu K{\"a}rkk{\"a}inen",
year = "2017",
month = "1",
day = "25",
doi = "10.1186/s40537-017-0063-x",
language = "English",
volume = "4",
journal = "Journal of Big Data",
issn = "2196-1115",
publisher = "Springer Verlag",
number = "1",

}

RIS (suitable for import to EndNote) - Lataa

TY - JOUR

T1 - Conceptualizing Big Social Data

AU - Olshannikova, Ekaterina

AU - Olsson, Thomas

AU - Huhtamäki, Jukka

AU - Kärkkäinen, Hannu

PY - 2017/1/25

Y1 - 2017/1/25

N2 - The popularity of social media and computer-mediated communication has resulted in high-volume and highly semantic data about digital social interactions. This constantly accumulating data has been termed as Big Social Data or Social Big Data, and various visions about how to utilize that have been presented. However, as relatively new concepts, there are no solid and commonly agreed definitions of them. We argue that the emerging research field around these concepts would benefit from understanding about the very substance of the concept and the different viewpoints to it. With our review of earlier research, we highlight various perspectives to this multi-disciplinary field and point out conceptual gaps, the diversity of perspectives and lack of consensus in what Big Social Data means. Based on detailed analysis of related work and earlier conceptualizations, we propose a synthesized definition of the term, as well as outline the types of data that Big Social Data covers. With this, we aim to foster future research activities around this intriguing, yet untapped type of Big Data.

AB - The popularity of social media and computer-mediated communication has resulted in high-volume and highly semantic data about digital social interactions. This constantly accumulating data has been termed as Big Social Data or Social Big Data, and various visions about how to utilize that have been presented. However, as relatively new concepts, there are no solid and commonly agreed definitions of them. We argue that the emerging research field around these concepts would benefit from understanding about the very substance of the concept and the different viewpoints to it. With our review of earlier research, we highlight various perspectives to this multi-disciplinary field and point out conceptual gaps, the diversity of perspectives and lack of consensus in what Big Social Data means. Based on detailed analysis of related work and earlier conceptualizations, we propose a synthesized definition of the term, as well as outline the types of data that Big Social Data covers. With this, we aim to foster future research activities around this intriguing, yet untapped type of Big Data.

KW - Big Social Data

KW - Social Big Data

KW - Digital human

KW - Conceptualization

KW - Social Data

KW - Social Media

KW - computational social science

KW - Social computing

KW - Big Social Data analysis

U2 - 10.1186/s40537-017-0063-x

DO - 10.1186/s40537-017-0063-x

M3 - Article

VL - 4

JO - Journal of Big Data

JF - Journal of Big Data

SN - 2196-1115

IS - 1

ER -