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
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.
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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).”
From Free Labour, Social Media, Management: Challenging Marxist Organization Studies (2015) · cites this paper as 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).”
From Free Labour, Social Media, Management: Challenging Marxist Organization Studies (2015) · cites this paper as Andrejevic, 2011
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Shouse, E. (2005) · M/C Journal · doi:10.5204/mcj.2443 · Cited by 869
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Free Labour, Social Media, Management: Challenging Marxist Organization Studies
Beverungen, A., Böhm, S., & Land, C. (2015) · Organization Studies · doi:10.1177/0170840614561568 · Cited by 126
Metadata
- Authors
- Andrejevic, M.
- Affiliations
- The University of Queensland (AU)
- Corresponding author
- Andrejevic, Mark
- ORCID
- Andrejevic, Mark
- Venue
- Cultural Studies
- Publisher
- Informa UK Limited
- 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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