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Media type:
E-Article
Title:
Platform enclosure of human behavior and its measurement: Using behavioral trace data against platform episteme
Contributor:
Wu, Angela Xiao;
Taneja, Harsh
Published:
SAGE Publications, 2021
Published in:
New Media & Society, 23 (2021) 9, Seite 2650-2667
Language:
English
DOI:
10.1177/1461444820933547
ISSN:
1461-7315;
1461-4448
Origination:
Footnote:
Description:
<jats:p>Digital trace data from giant platforms are gaining ground in the study of human behavior. This trend accompanies contestations regarding representativeness, privacy, access, and commercial origin. Complementing existing discussions and focusing on knowledge production, we draw attention to the different measurement regimes within passively captured behavioral logs from industries. Taking an institutional perspective on measurement as a management technology, we compare platforms with third-party audience measurement firms. Whereas the latter measure to provide “currency” for a multi-sided advertising market, the former measure internally for their own administrative purposes (i.e. prescribing behavior through design). We demonstrate the platform giants’ two-fold enclosure of first the user ecology and subsequently the previously open market for user attention. With platform trace data serving as a lifeline for scholarly research, platform episteme extends itself to enclose knowledge production. We conclude by suggesting ways in which academic quantitative social sciences may resist these platform enclosures.</jats:p>