Finding the ‘nudge’ in hypernudge
Bibliographic Data
| ID | 11240086 |
|---|---|
| Authors | Stuart Mill (0000-0002-6698-0983, University of Leeds, corresponding author) |
| Year | 2022 |
| Volume | 71 |
| Pages | 102117 |
| Publication date | 2022-11-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Technology in Society (JOURNAL) |
| Journal identifiers | ISSN: 0160-791X • E-ISSN: 1879-3274 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.techsoc.2022.102117 |
| OpenAlex | W4295698780 |
| Language | EN |
| Citations received | 9 |
| References cited | 46 |
‘Hypernudge’ describes a group of phenomena which occur at the intersection of behavioural science and computer science, and law. The term been increasingly used in the latter field, though sparingly in behavioural science. As such, ‘hypernudge’ remains largely absent from the behavioural science lexicon, inhibiting the field from participating within vital discussions surrounding the use of psychological insights with ubiquitous computing. In this article, I search for the ‘nudge’ in hypernudge by critiquing the differences between the two concepts from a behavioural science perspective. I ‘find the nudge’ in hypernudge by conceptualising a hypernudge as a system of nudges which change over time and in response to feedback. In this sense, a hypernudge is not a type of nudge, but an arrangement of nudges. This article then engages in an extensive discussion of the implications on this concept for the hypernudging programme, and for nudging more broadly
Behavioural economics · Behavioural sciences · Choice architecture · Economics · Epistemology · Field (mathematics · Intersection (aeronautics · Lexicon · Nudge theory · Perspective (graphical · Positive economics · Social science · Sociology · Behavioral Health and Interventions · Computer Science · Decision-Making and Behavioral Economics · Engineering · Philosophy · Privacy, Security, and Data Protection · Psychology · Social Psychology · Artificial Intelligence
Algorithms, Users
Hypernudging in the changing European regulatory landscape for digital markets
Digital nudges
Data-driven digital nudging
Socratic nudges, virtual moral assistants and the problem of autonomy
Autonomy and AI Nudges
Dark patterns and sludge audits
Navigating evidence, legitimacy, and delivery
Nudge goes to Silicon Valley
Re-Engineering Humanity
The Dark (Patterns) Side of UX Design
Nudge, not sludge
Nudging healthy food choices
The Short-Run and Long-Run Effects of Behavioral Interventions
The second self: Computers and the human spirit
Beyond Revealed Preference
The Definition of Nudge and Libertarian Paternalism
Psychological targeting as an effective approach to digital mass persuasion
Status quo bias in decision making
The Constructive, Destructive, and Reconstructive Power of Social Norms
Experimental evidence of massive-scale emotional contagion through social networks
The Black Box Society
What if Facebook goes down? Ethical and legal considerations for the demise of big tech
Nudge me right
The autonomous choice architect
Hey, Google, leave those kids alone
‘Hypernudge’
“Strongly Recommended” Revisiting Decisional Privacy to Judge Hypernudging in Self-Tracking Technologies
Nudges that should fail
When and why defaults influence decisions
The role of perceived effectiveness on the acceptability of choice architecture
Personalized nudging
Nudges that fail
Nudge/sludge symmetry
Behavioral Welfare Economics
Datafication, dataism and dataveillance
Debate
The political theology of entropy
Nudge
Can nudges be transparent and yet effective
Psychological interference, liberty and technology
When nudge comes to shove
Manipulate to empower
The distributional effects of nudges
How behavioural sciences can promote truth, autonomy and democratic discourse online
| Unique citing works | 9 |
|---|---|
| Citations per year | 3 |
| Citation span | 2023 - 2026 (4) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 9 |