Cited by 165Consumer Behavior in Brand Consumption and IdentificationCultural Studies and PostmodernismSentiment Analysis and Opinion Mining

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

THE WORK THAT AFFECTIVE ECONOMICS DOES

Andrejevic, Mark·2011·Cultural Studies

Abstract

This article focuses upon the concept of ‘affective economics’ arguing that it should be expanded to include a consideration of emerging forms of data-mining including ‘sentiment analysis’ and ‘predictive analytics’. Sentiment analysis in particular seeks to manipulate consumer behaviour by gathering data about emotional responses and conducting controlled experiments on consumers. Any consideration of affective economics should include the ways in which marketers seek to manage consumers through the collection not just of demographic information, but of extensive real-time databases of their online behaviour and conversations.

Overview

Integrity signals

Registry

Crossref · 10.1080/09502386.2011.600551

Cites

1 of 1 references verified0 citation errors · 0 not checkable

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Verification

Claims the paper makes

This paper’s full text isn’t openly available, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

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  • Facebook's platform and the paid work that goes into it facilitates and manages the gathering of rich user data, enabling sophisticated studies of consumer behaviour via data mining, predictive analysis and even sentiment analysis.

    “Facebook's platform - and the paid work that goes into it - facilitates and manages the gathering of rich user data, enabling sophisticated studies of consumer behaviour via data mining, predictive analysis and even sentiment analysis (Andrejevic, 2011).”
  • Through this prediction users are controlled by providing what they want, when they want it, even if they are not yet aware of these desires.

    “Through this prediction users are controlled by providing what they want, when they want it, even if they are not yet aware of these desires (Andrejevic, 2011).”

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 13

  1. Ayres I., 2007, Super Crunchers: How Anything Can be Predicted
  2. Business Times 2010 ‘Don't just get connected, get smarter too’ , 18 January p. 8 . · DOI
  3. 10.1177/14647001030043010 · DOI
  4. 10.1177/1368431008099643 · DOI
  5. Jenkins H., 2006, Convergence Culture: Where Old and New Media Collide
  6. Massumi B., 1998, Deleuze and Guattari: New Mappings in Politics, Philosophy and Culture, 40
  7. Massumi B., 2002, Parables of the Virtual: Movement, Affect, Sensation, 10.1215/9780822383574 · DOI · Paper page
  8. Massumi , B. 2005 ‘The future birth of the affective fact’ , in Conference proceedings of Ethics and Politics of Virtuality and Indexicality , University of Leeds, 30 June, pp. 1–12, Available at:http://browse.reticular.info/text/collected/massumi.pdf(accessed 10 September 2009) .
  9. Public Policy Polling 2010 Fox the most trusted name in news? Press release, [online] Available at:http://www.publicpolicypolling.com/pdf/PPP_Release_National_126.pdf(accessed 26 January 2010) .
  10. Smith D. W., 2007, Parrhesia, 66
  11. Sunstein C., 2001, Republic.com
  12. Sunstein , C. 2001b ‘The Daily We: is the internet really a blessing for democracy’ , Boston Review , Summer, vol. 26, no. 3, Available at:http://www.bostonreview.net/BR26.3/sunstein.html(accessed 20 November 2009) .
  13. Zizek , S. 2008 Unbehgan in der Natur: ecology against nature, Bedeutung Magazine , vol. 1, Available at:http://www.bedeutung.co.uk/index.php?option=com_content&view=article&id=10:zizek-unbehagen-in-der-natur&catid=6:contents&Itemid=16(accessed 22 May 2010) .

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Metadata

Authors
Andrejevic, M.
Affiliations
The University of Queensland (AU)
Corresponding author
Andrejevic, Mark
Venue
Cultural Studies
Published
2011-09
Volume
25
Issue
4-5
Pages
604-620
ISSN
  • 0950-2386 (ISSN-L)
  • 1466-4348
OpenAlex
W2086639367
Cited by
165
References
1
Citations by year
2026: 7 · 2025: 9 · 2024: 6 · 2023: 6 · 2022: 11 · 2021: 13 · 2020: 12 · 2019: 8 · 2018: 10 · 2017: 14 · 2016: 16 · 2015: 17 · 2014: 9 · 2013: 24 · 2012: 3
FWCI
25.06
Type
journal article
Language
en
Open access
closed
Locations
Cultural Studies (publishedVersion)
Topics
  • Social Sciences › Business, Management and Accounting › Marketing › Consumer Behavior in Brand Consumption and Identification
  • Social Sciences › Communication › Cultural Studies and Postmodernism
  • Physical Sciences › Computer Science › Artificial Intelligence › Sentiment Analysis and Opinion Mining
Keywords
sentiment analysis, predictive analytics, data mining, consumer behavior, consumer manipulation, emotional responses, customer data collection

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