Television by the numbers

The challenges of audience measurement in the age of Big Data

Bibliographic Data

ID7499202
AuthorsJp Kelly (0000-0002-3751-756X, University of London, corresponding author)
Year2017
Volume25
Issue1
Pages113-132
Publication date2017-03-30
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueConvergence The International Journal of Research into New Media Technologies (JOURNAL)
Journal identifiersISSN: 1354-8565 • E-ISSN: 1748-7382
PublisherSAGE Publishing (PUBLISHER • US)
DOI10.1177/1354856517700854
OpenAlexW2739457626
LanguageEN
Citations received10
References cited20

This article examines recent innovations in how television audiences are measured, paying particular attention to the industry's growing efforts to utilize the large bodies of data generated through social media platforms – a paradigm of research known as Big Data. Although Big Data is considered by many in the television industry as a more veracious model of audience research, this essay uses Boyd and Crawford's (2011) `Six Provocations of Big Data' to problematize and interrogate this prevailing industrial consensus. In doing so, this article explores both the affordances and the limitations of this emerging research paradigm – the latter having largely been ignored by those in the industry – and considers the consequences of these developments for the production culture of television more broadly. Although the full impact of the television industry's adoption of Big Data remains unclear, this article traces some preliminary connections between the introduction of these new measurement practices and the production culture of contemporary television. First, I demonstrate how the design of Big Data privileges real-time analysis, which, in turn, encourages increased investment in ‘live’ and/or ‘event’ television. Second, I argue that despite its potential to produce real-time insights, the scale of Big Data actually limits its utility in the context of the creative industries. Third, building on this discussion of the debatable value and applicability of Big Data, I describe how the introduction of social media metrics is further contributing to a ‘data divide’ in which access to these new information data sets is highly uneven, generally favouring institutions over individuals. Taken together, these three different but overlapping developments provide evidence that the introduction of Big Data is already having a notable effect on the television industry in a number of interesting and unexpected ways

Affordance · Big data · Context (archaeology · Data science · Geography · Media studies · Political science · Public relations · Scale (ratio · Social media · Sociology · Value (mathematics · World Wide Web · Cinema and Media Studies · Computer Science · Cultural Industries and Urban Development · Media Studies and Communication · History

Tools

Open DOISci-Hub