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.
| Original language | English |
|---|---|
| Pages (from-to) | 604-620 |
| Number of pages | 17 |
| Journal | Cultural Studies |
| Volume | 25 |
| Issue number | 4-5 |
| DOIs | |
| Publication status | Published - 2011 |
| Externally published | Yes |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 12 Responsible Consumption and Production
Keywords
- Affective economics
- Data-mining
- Media convergence
- Predictive analytics
- Sentiment analysis
- Target marketing
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