Literature DB >> 31792402

The promise and the peril of using social influence to reverse harmful traditions.

Charles Efferson1, Sonja Vogt2,3,4, Ernst Fehr5,6.   

Abstract

For a policy-maker promoting the end of a harmful tradition, conformist social influence is a compelling mechanism. If an intervention convinces enough people to abandon the tradition, this can spill over and induce others to follow. A key objective is thus to activate such spillovers and amplify an intervention's effects. With female genital cutting as a motivating example, we develop empirically informed analytical and simulation models to examine this idea. Even if conformity pervades decision-making, spillovers can range from irrelevant to indispensable. Our analysis highlights three considerations. First, ordinary forms of individual heterogeneity can severely limit spillovers, and understanding the heterogeneity in a population is essential. Second, although interventions often target samples of the population biased towards ending the harmful tradition, targeting a representative sample is a more robust way to achieve spillovers. Finally, if the harmful tradition contributes to group identity, the success of spillovers can depend critically on disrupting the link between identity and tradition.

Entities:  

Mesh:

Year:  2019        PMID: 31792402     DOI: 10.1038/s41562-019-0768-2

Source DB:  PubMed          Journal:  Nat Hum Behav        ISSN: 2397-3374


  22 in total

1.  BEHAVIOR. Female genital cutting is not a social coordination norm.

Authors:  Charles Efferson; Sonja Vogt; Amy Elhadi; Hilal El Fadil Ahmed; Ernst Fehr
Journal:  Science       Date:  2015-09-24       Impact factor: 47.728

2.  Conformity and change: community effects on female genital cutting in Kenya.

Authors:  Sarah R Hayford
Journal:  J Health Soc Behav       Date:  2005-06

3.  Social tipping points in global groundwater management.

Authors:  Juan Carlos Castilla-Rho; Rodrigo Rojas; Martin S Andersen; Cameron Holley; Gregoire Mariethoz
Journal:  Nat Hum Behav       Date:  2017-08-21

4.  Social norms as solutions.

Authors:  Karine Nyborg; John M Anderies; Astrid Dannenberg; Therese Lindahl; Caroline Schill; Maja Schlüter; W Neil Adger; Kenneth J Arrow; Scott Barrett; Stephen Carpenter; F Stuart Chapin; Anne-Sophie Crépin; Gretchen Daily; Paul Ehrlich; Carl Folke; Wander Jager; Nils Kautsky; Simon A Levin; Ole Jacob Madsen; Stephen Polasky; Marten Scheffer; Brian Walker; Elke U Weber; James Wilen; Anastasios Xepapadeas; Aart de Zeeuw
Journal:  Science       Date:  2016-10-07       Impact factor: 47.728

5.  Dynamics of change in the practice of female genital cutting in Senegambia: testing predictions of social convention theory.

Authors:  Bettina Shell-Duncan; Katherine Wander; Ylva Hernlund; Amadou Moreau
Journal:  Soc Sci Med       Date:  2011-08-26       Impact factor: 4.634

6.  Changing climates of conflict: A social network experiment in 56 schools.

Authors:  Elizabeth Levy Paluck; Hana Shepherd; Peter M Aronow
Journal:  Proc Natl Acad Sci U S A       Date:  2016-01-04       Impact factor: 11.205

7.  The evolutionary basis of human social learning.

Authors:  T J H Morgan; L E Rendell; M Ehn; W Hoppitt; K N Laland
Journal:  Proc Biol Sci       Date:  2011-07-27       Impact factor: 5.349

8.  The collective dynamics of smoking in a large social network.

Authors:  Nicholas A Christakis; James H Fowler
Journal:  N Engl J Med       Date:  2008-05-22       Impact factor: 91.245

9.  Social network predictors of latrine ownership.

Authors:  Holly B Shakya; Nicholas A Christakis; James H Fowler
Journal:  Soc Sci Med       Date:  2014-03-12       Impact factor: 4.634

10.  Indirect questioning method reveals hidden support for female genital cutting in South Central Ethiopia.

Authors:  Mhairi A Gibson; Eshetu Gurmu; Beatriz Cobo; María M Rueda; Isabel M Scott
Journal:  PLoS One       Date:  2018-05-02       Impact factor: 3.240

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  13 in total

1.  Policy to activate cultural change to amplify policy.

Authors:  Charles Efferson
Journal:  Proc Natl Acad Sci U S A       Date:  2021-06-08       Impact factor: 11.205

2.  Cultural evolutionary public policy.

Authors:  Michael Muthukrishna
Journal:  Nat Hum Behav       Date:  2020-01

Review 3.  How evolutionary behavioural sciences can help us understand behaviour in a pandemic.

Authors:  Megan Arnot; Eva Brandl; O L K Campbell; Yuan Chen; Juan Du; Mark Dyble; Emily H Emmott; Erhao Ge; Luke D W Kretschmer; Ruth Mace; Alberto J C Micheletti; Sarah Nila; Sarah Peacey; Gul Deniz Salali; Hanzhi Zhang
Journal:  Evol Med Public Health       Date:  2020-10-24

4.  Group identities can undermine social tipping after intervention.

Authors:  Sönke Ehret; Sara M Constantino; Elke U Weber; Charles Efferson; Sonja Vogt
Journal:  Nat Hum Behav       Date:  2022-09-22

5.  Investigating the Structure of Son Bias in Armenia With Novel Measures of Individual Preferences.

Authors:  Matthias Schief; Sonja Vogt; Charles Efferson
Journal:  Demography       Date:  2021-10-01

6.  Global phylogenetic analysis reveals multiple origins and correlates of genital mutilation/cutting.

Authors:  Gabriel Šaffa; Jan Zrzavý; Pavel Duda
Journal:  Nat Hum Behav       Date:  2022-03-31

7.  Adoption of outgroup norms provides evidence for social transmission in perinatal care practices among rural Namibian women.

Authors:  Renée V Hagen; Brooke A Scelza
Journal:  Evol Med Public Health       Date:  2020-07-30

Review 8.  Bad machines corrupt good morals.

Authors:  Nils Köbis; Jean-François Bonnefon; Iyad Rahwan
Journal:  Nat Hum Behav       Date:  2021-06-03

9.  Segregation and clustering of preferences erode socially beneficial coordination.

Authors:  Vítor V Vasconcelos; Sara M Constantino; Astrid Dannenberg; Marcel Lumkowsky; Elke Weber; Simon Levin
Journal:  Proc Natl Acad Sci U S A       Date:  2021-12-14       Impact factor: 12.779

10.  Predicting social tipping and norm change in controlled experiments.

Authors:  James Andreoni; Nikos Nikiforakis; Simon Siegenthaler
Journal:  Proc Natl Acad Sci U S A       Date:  2021-04-20       Impact factor: 11.205

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