The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Nudge and the Manipulation of Choice: A Framework for the Responsible Use of the Nudge Approach to Behaviour Change in Public Policy
Open accessAbstract
In Nudge (2008) Richard Thaler and Cass Sunstein suggested that public policy–makers arrange decision–making contexts in ways to promote behaviour change in the interest of individual citizens as well as that of society. However, in the public sphere and Academia alike widespread discussions have appeared concerning the public acceptability of nudgebased behavioural policy. Thaler and Sunstein's own position is that the anti–nudge position is a literal non–starter, because citizens are always influenced by the decision making context anyway, and nudging is liberty preserving and acceptable if guided by Libertarian Paternalism and Rawls’ publicity principle. A persistent and central tenet in the criticism disputing the acceptability of the approach is that nudging works by manipulating citizens’ choices. In this paper, we argue that both lines of argumentation are seriously flawed. We show how the anti–nudge position is not a literal non–starter due to the responsibilities that accrue on policy–makers by the intentional intervention in citizens’ life, how nudging is not essentially liberty preserving and why the approach is not necessarily acceptable even if satisfying Rawls’ publicity principle. We then use the psychological dual process theory underlying the approach as well as an epistemic transparency criterion identified by Thaler and Sunstein themselves to show that nudging is not necessarily about “manipulation”, nor necessarily about influencing “choice”. The result is a framework identifying four types of nudges that may be used to provide a central component for more nuanced normative considerations as well as a basis for policy recommendations.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
The Framing of Decisions and the Psychology of Choice
Tversky, A., & Kahneman, D. (1981) · Science · doi:10.1126/science.7455683 · Cited by 18,497
Kahneman, D., & Tversky, A. (1984) · American Psychologist · doi:10.1037/0003-066x.39.4.341 · Cited by 6,544
Rationality and the Reflective Mind
Stanovich, K. (2010) · doi:10.1093/acprof:oso/9780195341140.001.0001 · Cited by 1,041
Cited by
Algorithmic Labor and Information Asymmetries: A Case Study of Uber’s Drivers
(2016) · International journal of communication · Cited by 990
Bucher, T., Collins, C., Rollo, M. E., McCaffrey, T. A., De Vlieger, N., Van der Bend, D., Truby, H., & Perez-Cueto, F. J. A. (2016) · British Journal of Nutrition · doi:10.1017/s0007114516001653 · Cited by 528
Wilson, A. L., Buckley, E., Buckley, J. D., & Bogomolova, S. (2016) · Food Quality and Preference · doi:10.1016/j.foodqual.2016.02.009 · Cited by 308
The effects of framing on environmental decisions: A systematic literature review
Ropret Homar, A., & Knežević Cvelbar, L. (2021) · Ecological Economics · doi:10.1016/j.ecolecon.2021.106950 · Cited by 190
Formosa, P. (2021) · Minds and Machines · doi:10.1007/s11023-021-09579-2 · Cited by 144
Metadata
- Authors
- Hansen, P. G., & Jespersen, A. M.
- Venue
- European Journal of Risk Regulation
- Publisher
- Cambridge University Press (CUP)
- Published
- 2013-03
- Volume
- 4
- Issue
- 1
- Pages
- 3-28
- ISSN
- 1867-299X (ISSN-L)
- 2190-8249
- OpenAlex
- W3123463080
- Cited by
- 773
- References
- 3
- FWCI
- 12.30
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.