A manifesto for applying behavioural science
M Hallsworth - Nature Human Behaviour, 2023 - nature.com
Recent years have seen a rapid increase in the use of behavioural science to address the
priorities of public and private sector actors. There is now a vibrant ecosystem of …
priorities of public and private sector actors. There is now a vibrant ecosystem of …
Behavioural nudges increase COVID-19 vaccinations
Enhancing vaccine uptake is a critical public health challenge. Overcoming vaccine
hesitancy, and failure to follow through on vaccination intentions requires effective …
hesitancy, and failure to follow through on vaccination intentions requires effective …
Sanctions, perceptions, and crime
R Apel - Annual Review of Criminology, 2022 - annualreviews.org
The interplay of sanctions, perceptions, and crime has special significance in criminology
and is central to a long tradition of perceptual deterrence research as well as to more recent …
and is central to a long tradition of perceptual deterrence research as well as to more recent …
[图书][B] Fairness and machine learning: Limitations and opportunities
An introduction to the intellectual foundations and practical utility of the recent work on
fairness and machine learning. Fairness and Machine Learning introduces advanced …
fairness and machine learning. Fairness and Machine Learning introduces advanced …
Do nudges reduce disparities? Choice architecture compensates for low consumer knowledge
Choice architecture tools, commonly known as nudges, powerfully impact decisions and can
improve welfare. Yet it is unclear who is most impacted by nudges. If nudge effects are …
improve welfare. Yet it is unclear who is most impacted by nudges. If nudge effects are …
It's compaslicated: The messy relationship between rai datasets and algorithmic fairness benchmarks
Risk assessment instrument (RAI) datasets, particularly ProPublica's COMPAS dataset, are
commonly used in algorithmic fairness papers due to benchmarking practices of comparing …
commonly used in algorithmic fairness papers due to benchmarking practices of comparing …
Digital public health interventions at scale: The impact of social media advertising on beliefs and outcomes related to COVID vaccines
Public health organizations increasingly use social media advertising campaigns in pursuit
of public health goals. In this paper, we evaluate the impact of about 40millionofsocialmediaadvertisementsthatw …
of public health goals. In this paper, we evaluate the impact of about 40millionofsocialmediaadvertisementsthatw …
Against predictive optimization: On the legitimacy of decision-making algorithms that optimize predictive accuracy
We formalize predictive optimization, a category of decision-making algorithms that use
machine learning (ML) to predict future outcomes of interest about individuals. For example …
machine learning (ML) to predict future outcomes of interest about individuals. For example …
Reading dies in complexity: Online news consumers prefer simple writing
Over 30,000 field experiments with The Washington Post and Upworthy showed that readers
prefer simpler headlines (eg, more common words and more readable writing) over more …
prefer simpler headlines (eg, more common words and more readable writing) over more …
Nudging app adoption: Choice architecture facilitates consumer uptake of mobile apps
How can firms encourage consumers to adopt smartphone apps? The authors show that
several inexpensive choice architecture techniques can make users more likely to enable …
several inexpensive choice architecture techniques can make users more likely to enable …