Abstract
Original language | English |
---|---|
Pages (from-to) | 1-5 |
Number of pages | 5 |
Journal | Big Data Society |
Volume | 3 |
Issue number | 1 |
DOIs | |
Publication status | Published - 2016 |
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Digital companion species and eating data: Implications for theorising digital data-human assemblages. / Lupton, Deborah.
In: Big Data Society, Vol. 3, No. 1, 2016, p. 1-5.Research output: Contribution to journal › Article
TY - JOUR
T1 - Digital companion species and eating data: Implications for theorising digital data-human assemblages
AU - Lupton, Deborah
PY - 2016
Y1 - 2016
N2 - This commentary is an attempt to begin to identify and think through some of the ways in which sociocultural theory may contribute to understandings of the relationship between humans and digital data. I develop an argument that rests largely on the work of two scholars in the field of science and technology studies: Donna Haraway and Annemarie Mol. Both authors emphasised materiality and multiple ontologies in their writing. I argue that these concepts have much to offer critical data studies. I employ the tropes of companion species, drawn from Haraway, and eating data, from Mol, and demonstrate how these may be employed to theorise digital data–human assemblages
AB - This commentary is an attempt to begin to identify and think through some of the ways in which sociocultural theory may contribute to understandings of the relationship between humans and digital data. I develop an argument that rests largely on the work of two scholars in the field of science and technology studies: Donna Haraway and Annemarie Mol. Both authors emphasised materiality and multiple ontologies in their writing. I argue that these concepts have much to offer critical data studies. I employ the tropes of companion species, drawn from Haraway, and eating data, from Mol, and demonstrate how these may be employed to theorise digital data–human assemblages
KW - digital data
KW - digital sociology
KW - social theory
U2 - 10.1177/2053951715619947
DO - 10.1177/2053951715619947
M3 - Article
VL - 3
SP - 1
EP - 5
JO - Big Data Society
JF - Big Data Society
SN - 2053-9517
IS - 1
ER -