Personalisation, Emotion, and Nudging

Ignas Kalpokas ()
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Ignas Kalpokas: Vytautas Magnus University, Department of Public Communication

Chapter Chapter 4 in Algorithmic Governance, 2019, pp 49-65 from Springer

Abstract: Abstract Pleasure is undeservedly excluded from studies of algorithmic governance. Nevertheless, due to the incessant competition over attention, prevalent in today’s media environment, the maximisation of pleasure and consumer satisfaction becomes a must in order to be able to exert the power of algorithmic governance in the first place. Therefore, the first part of this chapter is dedicated to a discussion of the importance of enthralling one’s audience and the role of data therein. The second part, meanwhile, is focused on nudging strategies that are geared towards encouraging individuals to make predefined choices. However, in today’s datafied, pleasurised, and personalised environment, nudging goes beyond mere encouragement: As showed in this chapter, options can be stacked in such a way that individuals simply cannot fail to choose the option intended by the choice architect.

Keywords: Personalisation; Pleasure; Nudge; Choice; Attention; Architecture (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-030-31922-9_4

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DOI: 10.1007/978-3-030-31922-9_4

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