Using social and behavioural science to support COVID-19 pandemic response.
Adaptation, Psychological
Betacoronavirus
COVID-19
Communicable Disease Control
Coronavirus
Coronavirus Infections
/ diagnosis
Decision Making
Epidemiological Monitoring
Global Health
Health Knowledge, Attitudes, Practice
Human Activities
Humans
Leadership
Pandemics
/ prevention & control
Pneumonia, Viral
/ epidemiology
Public Health
Quarantine
SARS-CoV-2
Social Media
Stress, Psychological
Journal
Nature human behaviour
ISSN: 2397-3374
Titre abrégé: Nat Hum Behav
Pays: England
ID NLM: 101697750
Informations de publication
Date de publication:
05 2020
05 2020
Historique:
received:
24
03
2020
accepted:
09
04
2020
pubmed:
2
5
2020
medline:
27
5
2020
entrez:
2
5
2020
Statut:
ppublish
Résumé
The COVID-19 pandemic represents a massive global health crisis. Because the crisis requires large-scale behaviour change and places significant psychological burdens on individuals, insights from the social and behavioural sciences can be used to help align human behaviour with the recommendations of epidemiologists and public health experts. Here we discuss evidence from a selection of research topics relevant to pandemics, including work on navigating threats, social and cultural influences on behaviour, science communication, moral decision-making, leadership, and stress and coping. In each section, we note the nature and quality of prior research, including uncertainty and unsettled issues. We identify several insights for effective response to the COVID-19 pandemic and highlight important gaps researchers should move quickly to fill in the coming weeks and months.
Identifiants
pubmed: 32355299
doi: 10.1038/s41562-020-0884-z
pii: 10.1038/s41562-020-0884-z
doi:
Types de publication
Journal Article
Review
Langues
eng
Sous-ensembles de citation
IM
Pagination
460-471Subventions
Organisme : National Science Foundation (NSF)
ID : BCS-1551559
Pays : International
Organisme : National Science Foundation (NSF)
ID : SES2022478
Pays : International
Organisme : U.S. Department of Health & Human Services | NIH | National Institute of Mental Health (NIMH)
ID : 2P50MH094258
Pays : International
Références
Zhou, F. et al. Clinical course and risk factors for mortality of adult inpatients with COVID-19 in Wuhan, China: a retrospective cohort study. Lancet 395, 1054–1062 (2020).
pubmed: 32171076
doi: 10.1016/S0140-6736(20)30566-3
pmcid: 32171076
Lunn, P. et al. Using behavioural science to help fight the coronavirus. ESRI Working Paper No. 656 March 2020. http://aei.pitt.edu/102644/ (2020).
Scott, S. & Duncan, C.J. Biology of Plagues: Evidence from Historical Populations. (Cambridge University Press, 2001).
LeDoux, J. Rethinking the emotional brain. Neuron 73, 653–676 (2012).
pubmed: 22365542
pmcid: 3625946
doi: 10.1016/j.neuron.2012.02.004
Mobbs, D., Hagan, C. C., Dalgleish, T., Silston, B. & Prévost, C. The ecology of human fear: survival optimization and the nervous system. Front. Neurosci. 9, 55 (2015).
pubmed: 25852451
pmcid: 4364301
doi: 10.3389/fnins.2015.00055
Kramer, A. D. I., Guillory, J. E. & Hancock, J. T. Experimental evidence of massive-scale emotional contagion through social networks. Proc. Natl Acad. Sci. USA 111, 8878–8790 (2014).
doi: 10.1073/pnas.1320040111
Cole, S., Balcetis, E. & Dunning, D. Affective signals of threat increase perceived proximity. Psychol. Sci. 24, 34–40 (2013).
pubmed: 23160204
doi: 10.1177/0956797612446953
Witte, K. & Allen, M. A meta-analysis of fear appeals: implications for effective public health campaigns. Health Educ. Behav. 27, 591–615 (2000).
pubmed: 11009129
doi: 10.1177/109019810002700506
Strunk, D. R., Lopez, H. & DeRubeis, R. J. Depressive symptoms are associated with unrealistic negative predictions of future life events. Behav. Res. Ther. 44, 861–882 (2006).
pubmed: 16126162
doi: 10.1016/j.brat.2005.07.001
Sharot, T. The optimism bias. Curr. Biol. 21, R941–R945 (2011).
pubmed: 22153158
doi: 10.1016/j.cub.2011.10.030
Wise, T., Zbozinek, T. D., Michelini, G., Hagan, C. C. & Mobbs, D. Changes in risk perception and protective behavior during the first week of the COVID-19 pandemic in the United States. Preprint at PsyArXiv https://osf.io/dz428 (2020).
Fischhoff, B. The sciences of science communication. Proc. Natl Acad. Sci. USA 110(Suppl 3), 14033–14039 (2013).
pubmed: 23942125
doi: 10.1073/pnas.1213273110
Slovic, P. Perception of risk. Science 236, 280–285 (1987).
pubmed: 3563507
doi: 10.1126/science.3563507
pmcid: 3563507
Slovic, P., Finucane, M. L., Peters, E. & MacGregor, D. G. Risk as analysis and risk as feelings: some thoughts about affect, reason, risk, and rationality. Risk Anal. 24, 311–322 (2004).
pubmed: 15078302
doi: 10.1111/j.0272-4332.2004.00433.x
Loewenstein, G. F., Weber, E. U., Hsee, C. K. & Welch, N. Risk as feelings. Psychol. Bull. 127, 267–286 (2001).
pubmed: 11316014
doi: 10.1037/0033-2909.127.2.267
Peters, E., Lipkus, I. & Diefenbach, M. A. The functions of affect in health communications and in the construction of health preferences. J. Commun. 56, S140–S162 (2006).
doi: 10.1111/j.1460-2466.2006.00287.x
Evans, A. T. et al. Graphic warning labels elicit affective and thoughtful responses from smokers: results of a randomized clinical trial. PLoS One 10, e0142879 (2015).
pubmed: 26672982
pmcid: 4684406
doi: 10.1371/journal.pone.0142879
Noar, S. M. et al. Pictorial cigarette pack warnings: a meta-analysis of experimental studies. Tob. Control 25, 341–354 (2016).
pubmed: 25948713
doi: 10.1136/tobaccocontrol-2014-051978
Rottenstreich, Y. & Hsee, C. K. Money, kisses, and electric shocks: on the affective psychology of risk. Psychol. Sci. 12, 185–190 (2001).
pubmed: 11437299
doi: 10.1111/1467-9280.00334
Hsee, C. K. & Rottenstreich, Y. Music, pandas, and muggers: on the affective psychology of value. J. Exp. Psychol. Gen. 133, 23–30 (2004).
pubmed: 14979749
doi: 10.1037/0096-3445.133.1.23
Peters, E. et al. Numeracy and decision making. Psychol. Sci. 17, 407–413 (2006).
pubmed: 16683928
doi: 10.1111/j.1467-9280.2006.01720.x
Schaller, M. & Neuberg, S. L. Danger, disease, and the nature of prejudice(s). Advances in Experimental Social Psychology 46, 1–54 (2012).
Feldman, S. & Stenner, K. Perceived threat and authoritarianism. Polit. Psychol. 18, 741–770 (1997).
doi: 10.1111/0162-895X.00077
Jackson, J. C. et al. Ecological and cultural factors underlying the global distribution of prejudice. PLoS One 14, e0221953 (2019).
pubmed: 31490981
pmcid: 6730889
doi: 10.1371/journal.pone.0221953
Marcus, G. E., Sullivan, J. L., Theiss-Morse, E. & Wood, S. L. With Malice Toward Some: How People Make Civil Liberties Judgments. (Cambridge Univ. Press, 1995).
Cikara, M., Bruneau, E. G. & Saxe, R. R. Us and them: intergroup failures of empathy. Curr. Dir. Psychol. Sci. 20, 149–153 (2011).
doi: 10.1177/0963721411408713
Han, S. Neurocognitive basis of racial ingroup bias in empathy. Trends Cogn. Sci. 22, 400–421 (2018).
pubmed: 29563059
doi: 10.1016/j.tics.2018.02.013
Kteily, N., Hodson, G. & Bruneau, E. They see us as less than human: metadehumanization predicts intergroup conflict via reciprocal dehumanization. J. Pers. Soc. Psychol. 110, 343–370 (2016).
pubmed: 26963763
doi: 10.1037/pspa0000044
Han, X. et al. A neurobiological association of revenge propensity during intergroup conflict. eLife 9, e52014 (2020).
pubmed: 32122462
pmcid: 7058385
doi: 10.7554/eLife.52014
Cohn, S. K. Pandemics: waves of disease, waves of hate from the Plague of Athens to A.I.D.S. Hist. J. 85, 535–555 (2012).
pubmed: 25960572
pmcid: 4422154
Russell, A. The rise of coronavirus hate crimes. The New Yorker https://www.newyorker.com/news/letter-from-the-uk/the-rise-of-coronavirus-hate-crimes (2020).
Dovidio, J. F., Gaertner, S. L. & Saguy, T. Another view of “we”: majority and minority group perspectives on a common ingroup identity. Eur. Rev. Soc. Psychol. 18, 296–330 (2007).
doi: 10.1080/10463280701726132
Wright, S. C., Aron, A., McLaughlin-Volpe, T. & Ropp, S. A. The extended contact effect: knowledge of cross-group friendships and prejudice. J. Pers. Soc. Psychol. 73, 73–90 (1997).
doi: 10.1037/0022-3514.73.1.73
Clarke, L. Panic: myth or reality? Contexts 1, 21–26 (2002).
doi: 10.1525/ctx.2002.1.3.21
Drury, J. The role of social identity processes in mass emergency behaviour: an integrative review. Eur. Rev. Soc. Psychol. 29, 38–81 (2018).
doi: 10.1080/10463283.2018.1471948
Booth, R. Community aid groups set up across UK amid coronavirus crisis. The Guardian https://www.theguardian.com/society/2020/mar/16/community-aid-groups-set-up-across-uk-amid-coronavirus-crisis (16 March 2020).
Canter, D. Fires and Human Behaviour. (David Fulton, 1990).
Tierney, K.J., Lindell, M.K. & Perry, R.W. Facing the Unexpected: Disaster Preparedness and Response in the United States. (Joseph Henry Press, 2001).
Quarantelli, E.L. Sociology of panic. in International Encyclopedia of the Social and Behavioural Sciences (eds. Smelser, N. J. & Baltes, P. B.) 11020–11023 (Pergamon Press, 2001).
Drury, J., Cocking, C. & Reicher, S. The nature of collective resilience: survivor reactions to the 2005 London bombings. Int. J. Mass Emerg. Disasters 27, 66–95 (2009).
Carter, H., Drury, J., Rubin, G. J., Williams, R. & Amlôt, R. Applying crowd psychology to develop recommendations for the management of mass decontamination. Health Secur. 13, 45–53 (2015).
pubmed: 25812428
pmcid: 4389693
doi: 10.1089/hs.2014.0061
Stiff, C. The game theory of panic-buying – and how to reduce it. The Conversation http://theconversation.com/the-game-theory-of-panic-buying-and-how-to-reduce-it-134107 (2020).
Cialdini, R. B. & Goldstein, N. J. Social influence: compliance and conformity. Annu. Rev. Psychol. 55, 591–621 (2004).
pubmed: 14744228
doi: 10.1146/annurev.psych.55.090902.142015
Wood, W. Attitude change: persuasion and social influence. Annu. Rev. Psychol. 51, 539–570 (2000).
pubmed: 10751980
doi: 10.1146/annurev.psych.51.1.539
Miller, D.T. & Prentice, D.A. The construction of social norms and standards. in Social Psychology: Handbook of Basic Principles 799–829 (Guilford Press, 1996).
Dickie, R., Rasmussen, S., Cain, R., Williams, L. & MacKay, W. The effects of perceived social norms on handwashing behaviour in students. Psychol. Health Med. 23, 154–159 (2018).
pubmed: 28592138
doi: 10.1080/13548506.2017.1338736
Berkowitz, A.D. An overview of the social norms approach. in Changing the Culture of College Drinking: A Socially Situated Health Communication Campaign (eds. Stewart, L. & Lederman, L. C.) 193–214 (Hampton Press, 2005).
Cialdini, R.B., Kallgren, C.A. & Reno, R.R. A focus theory of normative conduct: a theoretical refinement and reevaluation of the role of norms in human behavior. in Advances in Experimental Social Psychology 24, 201–234 (1991).
Schultz, P. W., Nolan, J. M., Cialdini, R. B., Goldstein, N. J. & Griskevicius, V. The constructive, destructive, and reconstructive power of social norms. Psychol. Sci. 18, 429–434 (2007).
pubmed: 17576283
doi: 10.1111/j.1467-9280.2007.01917.x
Abrams, D., Wetherell, M., Cochrane, S., Hogg, M. A. & Turner, J. C. Knowing what to think by knowing who you are: self-categorization and the nature of norm formation, conformity and group polarization. Br. J. Soc. Psychol. 29, 97–119 (1990).
pubmed: 2372667
doi: 10.1111/j.2044-8309.1990.tb00892.x
Centola, D. An experimental study of homophily in the adoption of health behavior. Science 334, 1269–1272 (2011).
Christakis, N. A. & Fowler, J. H. Social contagion theory: examining dynamic social networks and human behavior. Stat. Med. 32, 556–577 (2013).
pubmed: 22711416
doi: 10.1002/sim.5408
Christakis, N. A. & Fowler, J. H. Social network sensors for early detection of contagious outbreaks. PLoS One 5, e12948 (2010).
pubmed: 20856792
pmcid: 2939797
doi: 10.1371/journal.pone.0012948
Kim, D. A. et al. Social network targeting to maximise population behaviour change: a cluster randomised controlled trial. Lancet 386, 145–153 (2015).
pubmed: 25952354
pmcid: 4638320
doi: 10.1016/S0140-6736(15)60095-2
Bond, R. M. et al. A 61-million-person experiment in social influence and political mobilization. Nature 489, 295–298 (2012).
pubmed: 22972300
doi: 10.1038/nature11421
Halpern, D. Inside the Nudge Unit: How Small Changes Can Make a Big Difference (Random House, 2015).
Thaler, R.H. & Sunstein, C.R. Nudge: Improving Decisions About Health, Wealth, and Happiness. (Yale University Press, 2008).
Sparkman, G. & Walton, G. M. Dynamic norms promote sustainable behavior, even if it is counternormative. Psychol. Sci. 28, 1663–1674 (2017).
pubmed: 28961062
doi: 10.1177/0956797617719950
HUD Continuum of Care Homeless Assistance Programs Homeless Populations and Subpopulations. https://files.hudexchange.info/reports/published/CoC_PopSub_NatlTerrDC_2019.pdf (US Department of Housing & Urban Development, 2019).
Deitz, S. & Meehan, K. Plumbing poverty: mapping hot spots of racial and geographic inequality in U.S. household water insecurity. Ann. Am. Assoc. Geogr. 109, 1092–1109 (2019).
Bureau of Labor Statistics, U.S. Department of Labor. Higher wage workers more likely than lower wage workers to have paid leave benefits in 2018. The Economics Daily https://www.bls.gov/opub/ted/2018/higher-wage-workers-more-likely-than-lower-wage-workers-to-have-paid-leave-benefits-in-2018.htm (2018).
Cockerham, W. C., Hamby, B. W. & Oates, G. R. The social determinants of chronic disease. Am. J. Prev. Med. 52(1S1), S5–S12 (2017).
pubmed: 27989293
pmcid: 5328595
doi: 10.1016/j.amepre.2016.09.010
Fothergill, A. & Peek, L. A. Poverty and disasters in the United States: a review of recent sociological findings. Nat. Hazards 32, 89–110 (2004).
doi: 10.1023/B:NHAZ.0000026792.76181.d9
Bolin, B. & Kurtz, L.C. Race, class, ethnicity, and disaster vulnerability. in Handbook of Disaster Research (eds. Rodríguez, H., Donner, W. & Trainor, J. E.) 181–203 (Springer International Publishing, 2018).
Kristal, T., Cohen, Y. & Navot, E. Benefit inequality among American workers by gender, race, and ethnicity, 1982–2015. Sociol. Sci. 5, 461–488 (2018).
doi: 10.15195/v5.a20
National Academies of Sciences, Engineering, and Medicine. Communities in Action: Pathways to Health Equity. (National Academies Press, 2017).
Quiñones, A. R. et al. Racial/ethnic differences in multimorbidity development and chronic disease accumulation for middle-aged adults. PLoS One 14, e0218462 (2019).
pubmed: 31206556
pmcid: 6576751
doi: 10.1371/journal.pone.0218462
Marsden, P. V. Core discussion networks of Americans. Am. Sociol. Rev. 52, 122–131 (1987).
doi: 10.2307/2095397
Granovetter, M. S. The strength of weak ties. Am. J. Sociol. 78, 1360–1380 (1973).
doi: 10.1086/225469
Demaris, A. & Yang, R. Race, alienation, and interpersonal mistrust. Sociol. Spectr. 14, 327–349 (1994).
doi: 10.1080/02732173.1994.9982075
Brehm, J. & Rahn, W. Individual-level evidence for the causes and consequences of social capital. Am. J. Pol. Sci. 41, 999–1023 (1997).
doi: 10.2307/2111684
Smith, T. W. Factors relating to misanthropy in contemporary American society. Soc. Sci. Res. 26, 170–196 (1997).
doi: 10.1006/ssre.1997.0592
Claibourn, M. P. & Martin, P. S. Trusting and Joining? An empirical test of the reciprocal nature of social capital. Polit. Behav. 22, 267–291 (2000).
doi: 10.1023/A:1010688913148
Alesina, A. & La Ferrara, E. Who trusts others? J. Public Econ. 85, 207–234 (2002).
doi: 10.1016/S0047-2727(01)00084-6
Markus, H. R. & Kitayama, S. Culture and the self: Implications for cognition, emotion, and motivation. Psychol. Rev. 98, 224–253 (1991).
doi: 10.1037/0033-295X.98.2.224
Triandis, H.C. Individualism And Collectivism. (Westview Press, 1995).
Kitayama, S., Park, H., Sevincer, A. T., Karasawa, M. & Uskul, A. K. A cultural task analysis of implicit independence: comparing North America, Western Europe, and East Asia. J. Pers. Soc. Psychol. 97, 236–255 (2009).
pubmed: 19634973
doi: 10.1037/a0015999
San Martin, A. et al. Self-assertive interdependence in Arab culture. Nat. Hum. Behav. 2, 830–837 (2018).
pubmed: 31558808
doi: 10.1038/s41562-018-0435-z
Kitayama, S. et al. Behavioral adjustment moderates the link between neuroticism and biological health risk: a U.S.-Japan comparison study. Pers. Soc. Psychol. Bull. 44, 809–822 (2018).
pubmed: 29380686
pmcid: 5940540
doi: 10.1177/0146167217748603
Betsch, C., Böhm, R., Korn, L. & Holtmann, C. On the benefits of explaining herd immunity in vaccine advocacy. Nat. Hum. Behav. 1, 56 (2017).
doi: 10.1038/s41562-017-0056
Kraus, B. & Kitayama, S. Interdependent self-construal predicts emotion suppression in Asian Americans: an electro-cortical investigation. Biol. Psychol. 146, 107733 (2019).
pubmed: 31352031
doi: 10.1016/j.biopsycho.2019.107733
Gelfand, M. J. et al. Differences between tight and loose cultures: a 33-nation study. Science 332, 1100–1104 (2011).
pubmed: 21617077
doi: 10.1126/science.1197754
pmcid: 21617077
Gelfand, M. J., Harrington, J. R. & Jackson, J. C. Perspect. Psychol. Sci. 12, 800–809 (2017). The strength of social norms across human groups.
pubmed: 28972845
doi: 10.1177/1745691617708631
Harrington, J. R. & Gelfand, M. J. Tightness-looseness across the 50 United States. Proc. Natl Acad. Sci. USA 111, 7990–7995 (2014).
pubmed: 24843116
doi: 10.1073/pnas.1317937111
Roos, P., Gelfand, M., Nau, D. & Lun, J. Societal threat and cultural variation in the strength of social norms: an evolutionary basis. Organ. Behav. Hum. Decis. Process. 129, 14–23 (2015).
doi: 10.1016/j.obhdp.2015.01.003
Gelfand, M. Rule Makers, Rule Breakers: How Tight and Loose Cultures Wire Our World. (Scribner, 2018).
Westwood, S. J. et al. The tie that divides: cross-national evidence of the primacy of partyism. Eur. J. Polit. Res. 57, 333–354 (2018).
doi: 10.1111/1475-6765.12228
Iyengar, S., Lelkes, Y., Levendusky, M., Malhotra, N. & Westwood, S. J. The origins and consequences of affective polarization in the United States. Annu. Rev. Polit. Sci. 22, 129–146 (2019).
doi: 10.1146/annurev-polisci-051117-073034
Hetherington, M.J. & Weiler, J.D. Authoritarianism and polarization in American politics, still? in American Gridlock: The Sources, Character, and Impact of Polarization (eds. Thurber, J. A. & Yoshinaka, A.) 86–112 (Cambridge Univ. Press, 2015).
Abramowitz, A. I. & Webster, S. The rise of negative partisanship and the nationalization of U.S. elections in the 21st century. Elect. Stud. 41, 12–22 (2016).
doi: 10.1016/j.electstud.2015.11.001
Van Bavel, J. J. & Pereira, A. The partisan brain: an identity-based model of political belief. Trends Cogn. Sci. 22, 213–224 (2018).
pubmed: 29475636
doi: 10.1016/j.tics.2018.01.004
Bakshy, E., Messing, S. & Adamic, L. A. Political science. Exposure to ideologically diverse news and opinion on Facebook. Science 348, 1130–1132 (2015).
pubmed: 25953820
doi: 10.1126/science.aaa1160
Lelkes, Y., Sood, G. & Iyengar, S. The hostile audience: the effect of access to broadband internet on partisan affect. Am. J. Pol. Sci. 61, 5–20 (2017).
doi: 10.1111/ajps.12237
Brady, W. J., Wills, J. A., Jost, J. T., Tucker, J. A. & Van Bavel, J. J. Emotion shapes the diffusion of moralized content in social networks. Proc. Natl Acad. Sci. USA 114, 7313–7318 (2017).
pubmed: 28652356
doi: 10.1073/pnas.1618923114
Minozzi, W., Song, H., Lazer, D. M. J., Neblo, M. A. & Ognyanova, K. The incidental pundit: who talks politics with whom, and why? Am. J. Pol. Sci. 64, 135–151 (2020).
doi: 10.1111/ajps.12469
Ahler, D. J. & Sood, G. The parties in our heads: misperceptions about party composition and their consequences. J. Polit. 80, 964–981 (2018).
doi: 10.1086/697253
Lees, J. & Cikara, M. Inaccurate group meta-perceptions drive negative out-group attributions in competitive contexts. Nat. Hum. Behav. 4, 279–286 (2020).
pubmed: 31712763
doi: 10.1038/s41562-019-0766-4
Bolsen, T., Druckman, J. N. & Cook, F. L. The influence of partisan motivated reasoning on public opinion. Polit. Behav. 36, 235–262 (2014).
doi: 10.1007/s11109-013-9238-0
Ellis, E.G. The coronavirus outbreak is a petri dish for conspiracy theories. Wired https://www.wired.com/story/coronavirus-conspiracy-theories/ (2020).
Gertz, B. Coronavirus may have originated in lab linked to China’s biowarfare program. The Washington Times https://www.washingtontimes.com/news/2020/jan/26/coronavirus-link-to-china-biowarfare-program-possi/ (2020).
Sommer, W. QAnon-ers’ magic cure for coronavirus: just drink bleach! The Daily Beast https://www.thedailybeast.com/qanon-conspiracy-theorists-magic-cure-for-coronavirus-is-drinking-lethal-bleach (2020).
Leman, P. & Cinnirella, M. A major event has a major cause: evidence for the role of heuristics in reasoning about conspiracy theories. Soc. Psychol. Rev. 9, 18–28 (2007).
McCauley, C. & Jacques, S. The popularity of conspiracy theories of presidential assassination: a Bayesian analysis. J. Pers. Soc. Psychol. 37, 637–644 (1979).
doi: 10.1037/0022-3514.37.5.637
van Prooijen, J.-W. & Douglas, K. M. Conspiracy theories as part of history: the role of societal crisis situations. Mem. Stud. 10, 323–333 (2017).
pubmed: 29081831
pmcid: 5646574
doi: 10.1177/1750698017701615
Douglas, K. M., Sutton, R. M. & Cichocka, A. The psychology of conspiracy theories. Curr. Dir. Psychol. Sci. 26, 538–542 (2017).
pubmed: 29276345
pmcid: 5724570
doi: 10.1177/0963721417718261
Graeupner, D. & Coman, A. The dark side of meaning-making: how social exclusion leads to superstitious thinking. J. Exp. Soc. Psychol. 69, 218–222 (2017).
doi: 10.1016/j.jesp.2016.10.003
Jolley, D. & Douglas, K. M. The effects of anti-vaccine conspiracy theories on vaccination intentions. PLoS One 9, e89177 (2014).
pubmed: 24586574
pmcid: 3930676
doi: 10.1371/journal.pone.0089177
Lewandowsky, S., Gignac, G. E. & Oberauer, K. The robust relationship between conspiracism and denial of (climate) science. Psychol. Sci. 26, 667–670 (2015).
pubmed: 25814501
doi: 10.1177/0956797614568432
van Prooijen, J.-W., Krouwel, A. P. M. & Pollet, T. V. Political extremism predicts belief in conspiracy theories. Soc. Psychol. Personal. Sci. 6, 570–578 (2015).
doi: 10.1177/1948550614567356
Jolley, D., Meleady, R. & Douglas, K. M. Exposure to intergroup conspiracy theories promotes prejudice which spreads across groups. Br. J. Psychol. 111, 17–35 (2020).
pubmed: 30868563
doi: 10.1111/bjop.12385
Kofta, M., Soral, W. & Bilewicz, M. What breeds conspiracy antisemitism? The role of political uncontrollability and uncertainty in the belief in Jewish conspiracy. J. Pers. Soc. Psychol. https://doi.org/10.1037/pspa0000183 (2020).
Marchlewska, M., Cichocka, A., Łozowski, F., Górska, P. & Winiewski, M. In search of an imaginary enemy: Catholic collective narcissism and the endorsement of gender conspiracy beliefs. J. Soc. Psychol. 159, 766–779 (2019).
pubmed: 30870100
doi: 10.1080/00224545.2019.1586637
Jolley, D. & Douglas, K. M. Prevention is better than cure: addressing anti‐vaccine conspiracy theories. J. Appl. Soc. Psychol. 47, 459–469 (2017).
doi: 10.1111/jasp.12453
Zollo, F. et al. Debunking in a world of tribes. PLoS One 12, e0181821 (2017).
pubmed: 28742163
pmcid: 5524392
doi: 10.1371/journal.pone.0181821
Frenkel, S., Alba, D. & Zhong, R. Surge of virus misinformation stumps Facebook and Twitter. The New York Times https://www.nytimes.com/2020/03/08/technology/coronavirus-misinformation-social-media.html (2020).
Allen, J., Howland, B., Mobius, M., Rothschild, D. & Watts, D. J. Evaluating the fake news problem at the scale of the information ecosystem. Sci. Adv. 1, eaay3539 (2020).
doi: 10.1126/sciadv.aay3539
Allcott, H. & Gentzkow, M. Social media and fake news in the 2016 election. J. Econ. Perspect. 31, 211–236 (2017).
doi: 10.1257/jep.31.2.211
Guess, A., Nagler, J. & Tucker, J. Less than you think: prevalence and predictors of fake news dissemination on Facebook. Sci. Adv. 5, u4586 (2019).
doi: 10.1126/sciadv.aau4586
Berinsky, A. J. Rumors and health care reform: experiments in political misinformation. Br. J. Polit. Sci. 47, 241–262 (2017).
doi: 10.1017/S0007123415000186
Lewandowsky, S., Ecker, U. K. H., Seifert, C. M., Schwarz, N. & Cook, J. Misinformation and its correction: continued influence and successful debiasing. Psychol. Sci. Public Interest 13, 106–131 (2012).
pubmed: 26173286
doi: 10.1177/1529100612451018
Guess, A. & Coppock, A. Does counter-attitudinal information cause backlash? Results from three large survey experiments. Br. J. Polit. Sci. https://doi.org/10.1017/S0007123418000327 (2018).
Schmid, P. & Betsch, C. Effective strategies for rebutting science denialism in public discussions. Nat. Hum. Behav. 3, 931–939 (2019).
pubmed: 31235861
doi: 10.1038/s41562-019-0632-4
Nyhan, B. & Reifler, J. Displacing misinformation about events: an experimental test of causal corrections. J. Exp. Political Sci. 2, 81–93 (2015).
doi: 10.1017/XPS.2014.22
Wittenberg, C. & Berinsky, A.J. Misinformation and its correction. in Social Media and Democracy: The State of the Field (eds Persily, N. & Tucker, J. A.) (Cambridge University Press, forthcoming).
Swire, B. & Ecker, U.K.H. Misinformation and its correction: Cognitive mechanisms and recommendations for mass communication. in Misinformation and Mass Audiences (eds. Southwell, B. G., Thorson, E. A. & Sheble, L.) 195–2011 (University of Texas Press, 2018).
Wood, T. & Porter, E. The elusive backfire effect: mass attitudes’ steadfast factual adherence. Polit. Behav. 41, 135–163 (2018).
doi: 10.1007/s11109-018-9443-y
Pennycook, G., McPhetres, J., Zhang, Y. & Rand, D. Fighting COVID-19 misinformation on social media: Experimental evidence for a scalable accuracy nudge intervention. Preprint at PsyArXiv https://doi.org/10.31234/osf.io/uhbk9 (2020).
McGuire, W. J. Some contemporary approaches. Advances in Experimental Social Psychology 1, 191–229 (1964).
doi: 10.1016/S0065-2601(08)60052-0
van der Linden, S., Leiserowitz, A., Rosenthal, S. & Maibach, E. Inoculating the public against misinformation about climate change. Glob. Chall. 1, 1600008 (2017).
pubmed: 31565263
pmcid: 6607159
doi: 10.1002/gch2.201600008
Banas, J. A. & Rains, S. A. A meta-analysis of research on inoculation theory. Commun. Monogr. 77, 281–311 (2010).
doi: 10.1080/03637751003758193
Basol, M., Roozenbeek, J. & van der Linden, S. Good news about bad news: gamified inoculation boosts confidence and cognitive immunity against fake news. J. Cogn. 3, 2 (2020).
pubmed: 31934684
pmcid: 6952868
doi: 10.5334/joc.91
Roozenbeek, J. & van der Linden, S. Fake news game confers psychological resistance against online misinformation. Palgrave Commun. 5, 65 (2019).
doi: 10.1057/s41599-019-0279-9
Roozenbeek, J., van der Linden, S. & Nygren, T. Prebunking interventions based on “inoculation” theory can reduce susceptibility to misinformation across cultures. Harv. Kennedy Sch. Misinformation Rev. https://doi.org/10.37016//mr-2020-008 (2020).
Pennycook, G. & Rand, D. G. Lazy, not biased: susceptibility to partisan fake news is better explained by lack of reasoning than by motivated reasoning. Cognition 188, 39–50 (2019).
pubmed: 29935897
doi: 10.1016/j.cognition.2018.06.011
Pennycook, G. & Rand, D. G. Who falls for fake news? The roles of bullshit receptivity, overclaiming, familiarity, and analytic thinking. J. Pers. 88, 185–200 (2020).
pubmed: 30929263
doi: 10.1111/jopy.12476
Bronstein, M. V., Pennycook, G., Bear, A., Rand, D. G. & Cannon, T. D. Belief in fake news is associated with delusionality, dogmatism, religious fundamentalism, and reduced analytic thinking. J. Appl. Res. Mem. Cogn. 8, 108–117 (2019).
doi: 10.1016/j.jarmac.2018.09.005
Bago, B., Rand, D. G. & Pennycook, G. Fake news, fast and slow: deliberation reduces belief in false (but not true) news headlines. J. Exp. Psychol. Gen. https://psycnet.apa.org/doi/10.1037/xge0000729 (2020).
Dias, N., Pennycook, G. & Rand, D. G. Emphasizing publishers does not effectively reduce susceptibility to misinformation on social media. Harv. Kennedy Sch. Misinformation Rev. https://doi.org/10.37016/mr-2020-001 (2020).
Pennycook, G. & Rand, D. G. Fighting misinformation on social media using crowdsourced judgments of news source quality. Proc. Natl Acad. Sci. USA 116, 2521–2526 (2019).
pubmed: 30692252
doi: 10.1073/pnas.1806781116
Clayton, K. et al. Real solutions for fake news? Measuring the effectiveness of general warnings and fact-check tags in reducing belief in false stories on social media. Polit. Behav. https://doi.org/10.1007/s11109-019-09533-0 (2019).
Trevena, L.J. et al. Presenting quantitative information about decision outcomes: a risk communication primer for patient decision aid developers. BMC Med. Inform. Decis. Mak. 13 Suppl 2, S7 (2013).
Petty, R. E. & Cacioppo, J. T. The elaboration likelihood model of persuasion. Advances in Experimental Social Psychology 19, 123–205 (1986).
Briñol, P. & Petty, R. E. Source factors in persuasion: a self-validation approach. Eur. Rev. Soc. Psychol. 20, 49–96 (2009).
doi: 10.1080/10463280802643640
O’Keefe, D.J. Persuasion: Theory and Research. (SAGE, 2016).
Greyling, C. et al. Lessons from the faith-driven response to the West Africa Ebola epidemic. Rev. Faith Int. Aff. 14, 118–123 (2016).
doi: 10.1080/15570274.2016.1215829
Teeny, J., Siev, J., Briñol, P. & Petty, R.E. A review and conceptual framework for understanding personalized matching effects in persuasion. J. Consum. Psychol. (in the press).
Grant, A. M. & Hofmann, D. A. It’s not all about me: motivating hand hygiene among health care professionals by focusing on patients. Psychol. Sci. 22, 1494–1499 (2011).
pubmed: 22075239
doi: 10.1177/0956797611419172
Feinberg, M. & Willer, R. Moral reframing: a technique for effective and persuasive communication across political divides. Soc. Personal. Psychol. Compass 13, e12501 (2019).
doi: 10.1111/spc3.12501
Lewandowsky, S., Gignac, G. E. & Vaughan, S. The pivotal role of perceived scientific consensus in acceptance of science. Nat. Clim. Chang. 3, 399–404 (2013).
doi: 10.1038/nclimate1720
Linden, S. V., Leiserowitz, A. & Maibach, E. Scientific agreement can neutralize politicization of facts. Nat. Hum. Behav. 2, 2–3 (2018).
pubmed: 30980051
doi: 10.1038/s41562-017-0259-2
van der Linden, S., Leiserowitz, A. & Maibach, E. The gateway belief model: a large-scale replication. J. Environ. Psychol. 62, 49–58 (2019).
doi: 10.1016/j.jenvp.2019.01.009
Drummond, C. & Fischhoff, B. Individuals with greater science literacy and education have more polarized beliefs on controversial science topics. Proc. Natl Acad. Sci. USA 114, 9587–9592 (2017).
pubmed: 28827344
doi: 10.1073/pnas.1704882114
Kahan, D. M. et al. The polarizing impact of science literacy and numeracy on perceived climate change risks. Nat. Clim. Chang. 2, 732–735 (2012).
doi: 10.1038/nclimate1547
Druckman, J. N. & McGrath, M. C. The evidence for motivated reasoning in climate change preference formation. Nat. Clim. Chang. 9, 111–119 (2019).
doi: 10.1038/s41558-018-0360-1
Rucker, D., Tormala, Z. L., Petty, R. E. & Briñol, P. Consumer conviction and commitment: an appraisal-based framework for attitude certainty. J. Consum. Psychol. 24, 119–136 (2014).
doi: 10.1016/j.jcps.2013.07.001
Barden, J. & Petty, R. E. The mere perception of elaboration creates attitude certainty: exploring the thoughtfulness heuristic. J. Pers. Soc. Psychol. 95, 489–509 (2008).
pubmed: 18729690
doi: 10.1037/a0012559
Luttrell, A., Petty, R. E., Briñol, P. & Wagner, B. C. Making it moral: merely labeling an attitude as moral increases its strength. J. Exp. Soc. Psychol. 65, 82–93 (2016).
doi: 10.1016/j.jesp.2016.04.003
Greene, J. Moral Tribes: Emotion, Reason, and the Gap between Us and Them (Penguin Press, 2013).
Haidt, J. The emotional dog and its rational tail: a social intuitionist approach to moral judgment. Psychol. Rev. 108, 814–834 (2001).
pubmed: 11699120
doi: 10.1037/0033-295X.108.4.814
Haidt, J. The Righteous Mind: Why Good People Are Divided by Politics and Religion. (Vintage, 2012).
Tomasello, M. Why We Cooperate. (MIT Press, 2009).
Tooby, J. & Cosmides, L. Groups in mind: the coalitional roots of war and morality. in Human Morality and Sociality (ed. Høgh-Olesen, H.) 191–234 (2010).
Leach, C.W., Bilali, R. & Pagliaro, S. Groups and morality. in APA handbook of Personality and Social Psychology, Volume 2: Group Processes 123–149 (American Psychological Association, 2015).
Ellemers, N. Morality and the Regulation of Social Behavior. (Routledge, 2017).
Ellemers, N. & van den Bos, K. Morality in groups: on the social-regulatory functions of right and wrong. Soc. Personal. Psychol. Compass 6, 878–889 (2012).
doi: 10.1111/spc3.12001
Boyer, P. & Petersen, M. B. Folk-economic beliefs: an evolutionary cognitive model. Behav. Brain Sci. 41, 1–51 (2017).
Meegan, D. V. Zero-sum bias: perceived competition despite unlimited resources. Front. Psychol. 1, 191 (2010).
pubmed: 21833251
pmcid: 3153800
doi: 10.3389/fpsyg.2010.00191
Folch, E., Hernandez, I., Barragan, M. & Franco-Paredes, C. Infectious diseases, non-zero-sum thinking, and the developing world. Am. J. Med. Sci. 326, 66–72 (2003).
pubmed: 12920437
doi: 10.1097/00000441-200308000-00003
Goodwin, G. P. & Landy, J. F. Valuing different human lives. J. Exp. Psychol. Gen. 143, 778–803 (2014).
pubmed: 23647311
doi: 10.1037/a0032796
Awad, E. et al. The Moral Machine experiment. Nature 563, 59–64 (2018).
pubmed: 30356211
doi: 10.1038/s41586-018-0637-6
Everett, J. A. C., Pizarro, D. A. & Crockett, M. J. Inference of trustworthiness from intuitive moral judgments. J. Exp. Psychol. Gen. 145, 772–787 (2016).
pubmed: 27054685
doi: 10.1037/xge0000165
Funk, C., Hefferon, M., Kennedy, B. & Johnson, C. Trust and Mistrust in Americans’ Views of Scientific Experts. Pew Research Center Science & Society https://www.pewresearch.org/science/2019/08/02/trust-and-mistrust-in-americans-views-of-scientific-experts/ (2019).
Ransohoff, K.J. Patients on the Trolley Track: The Moral Cognition of Medical Practitioners and Public Health Professionals. (Harvard Univ. Press, 2011).
Gino, F., Norton, M. I. & Weber, R. A. Motivated Bayesians: feeling moral while acting egoistically. J. Econ. Perspect. 30, 189–212 (2016).
doi: 10.1257/jep.30.3.189
Garcia, T., Massoni, S. & Villeval, M. C. Ambiguity and excuse-driven behavior in charitable giving. Eur. Econ. Rev. 124, 103412 (2020).
doi: 10.1016/j.euroecorev.2020.103412
Kappes, A. et al. Uncertainty about the impact of social decisions increases prosocial behaviour. Nat. Hum. Behav. 2, 573–580 (2018).
pubmed: 31209312
pmcid: 6639117
doi: 10.1038/s41562-018-0372-x
Barclay, P. & Willer, R. Partner choice creates competitive altruism in humans. Proc. Biol. Sci. 274, 749–753 (2007).
pubmed: 17255001
doi: 10.1098/rspb.2006.0209
Milinski, M., Semmann, D. & Krambeck, H.-J. Reputation helps solve the ‘tragedy of the commons’. Nature 415, 424–426 (2002).
pubmed: 11807552
doi: 10.1038/415424a
Cushman, F. & Young, L. Patterns of moral judgment derive from nonmoral psychological representations. Cogn. Sci. 35, 1052–1075 (2011).
pubmed: 21790743
doi: 10.1111/j.1551-6709.2010.01167.x
Ritov, I. & Baron, J. Reluctance to vaccinate: omission bias and ambiguity. J. Behav. Decis. Making 3, 263–277 (1990).
doi: 10.1002/bdm.3960030404
Ritov, I. & Baron, J. Status-quo and omission biases. J. Risk Uncertain. 5, 49–61 (1992).
doi: 10.1007/BF00208786
Tetlock, P. E. & Boettger, R. Accountability amplifies the status quo effect when change creates victims. J. Behav. Decis. Making 7, 1–23 (1994).
doi: 10.1002/bdm.3960070102
Nowak, M. A. Five rules for the evolution of cooperation. Science 314, 1560–1563 (2006).
pubmed: 17158317
pmcid: 3279745
doi: 10.1126/science.1133755
Van Lange, P. A. M., Joireman, J. & Milinski, M. Climate change: what psychology can offer in terms of insights and solutions. Curr. Dir. Psychol. Sci. 27, 269–274 (2018).
pubmed: 30166778
pmcid: 6099976
doi: 10.1177/0963721417753945
Milinski, M., Hilbe, C., Semmann, D., Sommerfeld, R. & Marotzke, J. Humans choose representatives who enforce cooperation in social dilemmas through extortion. Nat. Commun. 7, 10915 (2016).
pubmed: 26948250
pmcid: 4786683
doi: 10.1038/ncomms10915
Reinders Folmer, C. P. et al. One for all: what representing a group may do to us. J. Exp. Soc. Psychol. 48, 1047–1056 (2012).
doi: 10.1016/j.jesp.2012.04.009
Yamagishi, T. The provision of a sanctioning system as a public good. J. Pers. Soc. Psychol. 51, 110–116 (1986).
doi: 10.1037/0022-3514.51.1.110
Rand, D. G., Dreber, A., Ellingsen, T., Fudenberg, D. & Nowak, M. A. Positive interactions promote public cooperation. Science 325, 1272–1275 (2009).
pubmed: 19729661
pmcid: 2875121
doi: 10.1126/science.1177418
Dal Bó, E. & Dal Bó, P. “Do the right thing:” the effects of moral suasion on cooperation. J. Public Econ. 117, 28–38 (2014).
doi: 10.1016/j.jpubeco.2014.05.002
Capraro, V., Jagfeld, G., Klein, R., Mul, M. & de Pol, I. V. Increasing altruistic and cooperative behaviour with simple moral nudges. Sci. Rep. 9, 11880 (2019).
pubmed: 31417106
pmcid: 6695418
doi: 10.1038/s41598-019-48094-4
Fischbacher, U., Gächter, S. & Fehr, E. Are people conditionally cooperative? evidence from a public goods experiment. Econ. Lett. 71, 397–404 (2001).
doi: 10.1016/S0165-1765(01)00394-9
Kraft-Todd, G., Yoeli, E., Bhanot, S. & Rand, D. Promoting cooperation in the field. Curr. Opin. Behav. Sci. 3, 96–101 (2015).
doi: 10.1016/j.cobeha.2015.02.006
Christensen, D., Dube, O., Haushofer, J., Siddiqi, B. & Voors, M. Community-based crisis response: evidence from Sierra Leone’s Ebola outbreak. Am. Econ. Rev. Pap. Proc. (in the press).
Tsai, L.L., Morse, B.S. & Blair, R.A. Building credibility and cooperation in low-trust settings: persuasion and source accountability in Liberia during the 2014–2015 Ebola crisis. Comp. Polit. Stud. https://doi.org/10.1177/0010414019897698 (2020).
Blair, R. A., Morse, B. S. & Tsai, L. L. Public health and public trust: survey evidence from the Ebola virus disease epidemic in Liberia. Soc. Sci. Med. 172, 89–97 (2017).
pubmed: 27914936
doi: 10.1016/j.socscimed.2016.11.016
Morse, B., Grépin, K. A., Blair, R. A. & Tsai, L. Patterns of demand for non-Ebola health services during and after the Ebola outbreak: panel survey evidence from Monrovia, Liberia. BMJ Glob. Health 1, e000007 (2016).
pubmed: 28588907
pmcid: 5321298
doi: 10.1136/bmjgh-2015-000007
Vinck, P., Pham, P. N., Bindu, K. K., Bedford, J. & Nilles, E. J. Institutional trust and misinformation in the response to the 2018-19 Ebola outbreak in North Kivu, DR Congo: a population-based survey. Lancet Infect. Dis. 19, 529–536 (2019).
pubmed: 30928435
doi: 10.1016/S1473-3099(19)30063-5
Alsan, M. & Wanamaker, M. Tuskegee and the health of black men. Q. J. Econ. 133, 407–455 (2018).
pubmed: 30505005
doi: 10.1093/qje/qjx029
Reicher, S., Haslam, S. A. & Hopkins, N. Social identity and the dynamics of leadership: Leaders and followers as collaborative agents in the transformation of social reality. Leadersh. Q. 16, 547–568 (2005).
doi: 10.1016/j.leaqua.2005.06.007
Haslam, S.A., Reicher, S.D. & Platow, M.J. The New Psychology of Leadership: Identity, Influence, and Power. (Routledge, 2011).
Fransen, K. et al. Believing in “us”: exploring leaders’ capacity to enhance team confidence and performance by building a sense of shared social identity. J. Exp. Psychol. Appl. 21, 89–100 (2015).
pubmed: 25401268
doi: 10.1037/xap0000033
Haslam, S. A. & Reicher, S. Stressing the group: social identity and the unfolding dynamics of responses to stress. J. Appl. Psychol. 91, 1037–1052 (2006). Stressing the group.
pubmed: 16953766
doi: 10.1037/0021-9010.91.5.1037
Haslam, S. A. & Platow, M. J. The link between leadership and followership: how affirming social identity translates vision into action. Pers. Soc. Psychol. Bull. 27, 1469–1479 (2001).
doi: 10.1177/01461672012711008
Hogg, M. A. A social identity theory of leadership. Pers. Soc. Psychol. Rev. 5, 184–200 (2001).
doi: 10.1207/S15327957PSPR0503_1
Nielsen, J.S. The Myth Of Leadership: Creating Leaderless Organizations. (Davies-Black Publishing, 2004).
Mooijman, M., van Dijk, W. W., van Dijk, E. & Ellemers, N. On sanction-goal justifications: How and why deterrence justifications undermine rule compliance. J. Pers. Soc. Psychol. 112, 577–588 (2017).
pubmed: 27935728
doi: 10.1037/pspi0000084
Tyler, T.R. Why People Cooperate: The Role of Social Motivations. (Princeton Univ. Press, 2011).
Ellemers, N., Spears, R. & Doosje, B. Self and social identity. Annu. Rev. Psychol. 53, 161–186 (2002).
pubmed: 11752483
doi: 10.1146/annurev.psych.53.100901.135228
Schnall, S., Roper, J. & Fessler, D. M. T. Elevation leads to altruistic behavior. Psychol. Sci. 21, 315–320 (2010).
pubmed: 20424062
doi: 10.1177/0956797609359882
Schnall, S. & Roper, J. Elevation puts moral values into action. Soc. Psychol. Personal. Sci. 3, 373–378 (2012).
doi: 10.1177/1948550611423595
Yang, X.-F., Pavarini, G., Schnall, S. & Immordino-Yang, M. H. Looking up to virtue: averting gaze facilitates moral construals via posteromedial activations. Soc. Cogn. Affect. Neurosci. 13, 1131–1139 (2018).
pubmed: 30212913
pmcid: 6234327
de Zavala, A. G., Cichocka, A., Eidelson, R. & Jayawickreme, N. Collective narcissism and its social consequences. J. Pers. Soc. Psychol. 97, 1074–1096 (2009).
pubmed: 19968420
doi: 10.1037/a0016904
Cichocka, A. Understanding defensive and secure in-group positivity: the role of collective narcissism. Eur. Rev. Soc. Psychol. 27, 283–317 (2016).
doi: 10.1080/10463283.2016.1252530
Cichocka, A. & Cislak, A. Nationalism as collective narcissism. Curr. Opin. Behav. Sci. 34, 69–74 (2020).
doi: 10.1016/j.cobeha.2019.12.013
Cichocka, A., Marchlewska, M., Golec de Zavala, A. & Olechowski, M. ‘They will not control us’: ingroup positivity and belief in intergroup conspiracies. Br. J. Psychol. 107, 556–576 (2016).
pubmed: 26511288
doi: 10.1111/bjop.12158
Baumeister, R. F. & Leary, M. R. The need to belong: desire for interpersonal attachments as a fundamental human motivation. Psychol. Bull. 117, 497–529 (1995).
pubmed: 7777651
doi: 10.1037/0033-2909.117.3.497
Jetten, J., Haslam, C., & Haslam, S. A. (eds.) The Social Cure: Identity, Health and Well-being. (Psychology Press, 2012).
Jetten, J. et al. Advancing the social identity approach to health and well-being: progressing the social cure research agenda. Eur. J. Soc. Psychol. 47, 789–802 (2017).
doi: 10.1002/ejsp.2333
Rimé, B. Emotion elicits the social sharing of emotion: theory and empirical review. Emot. Rev. 1, 60–85 (2009).
doi: 10.1177/1754073908097189
Williams, W. C., Morelli, S. A., Ong, D. C. & Zaki, J. Interpersonal emotion regulation: Implications for affiliation, perceived support, relationships, and well-being. J. Pers. Soc. Psychol. 115, 224–254 (2018).
pubmed: 29733662
doi: 10.1037/pspi0000132
Haslam, C. et al. The New Psychology of Health: Unlocking the Social Cure. (Routledge, 2018).
Hawkley, L. C. & Cacioppo, J. T. Loneliness matters: a theoretical and empirical review of consequences and mechanisms. Ann. Behav. Med. 40, 218–227 (2010).
pubmed: 20652462
doi: 10.1007/s12160-010-9210-8
Luo, Y., Hawkley, L. C., Waite, L. J. & Cacioppo, J. T. Loneliness, health, and mortality in old age: a national longitudinal study. Soc. Sci. Med. 74, 907–914 (2012).
pubmed: 22326307
pmcid: 3303190
doi: 10.1016/j.socscimed.2011.11.028
Cacioppo, J.T. & Patrick, W. Loneliness: Human Nature and the Need for Social Connection. (Norton, 2009).
Doré, B. P., Morris, R. R., Burr, D. A., Picard, R. W. & Ochsner, K. N. Helping others regulate emotion predicts increased regulation of one’s own emotions and decreased symptoms of depression. Pers. Soc. Psychol. Bull. 43, 729–739 (2017).
pubmed: 28903637
doi: 10.1177/0146167217695558
Helliwell, J. F. & Huang, H. Comparing the happiness effects of real and on-line friends. PLoS One 8, e72754 (2013).
pubmed: 24019875
pmcid: 3760892
doi: 10.1371/journal.pone.0072754
Verduyn, P. et al. Passive Facebook usage undermines affective well-being: experimental and longitudinal evidence. J. Exp. Psychol. Gen. 144, 480–488 (2015).
pubmed: 25706656
doi: 10.1037/xge0000057
Schroeder, J., Kardas, M. & Epley, N. The humanizing voice: speech reveals, and text conceals, a more thoughtful mind in the midst of disagreement. Psychol. Sci. 28, 1745–1762 (2017).
pubmed: 29068763
doi: 10.1177/0956797617713798
Waytz, A. & Gray, K. Does online technology make us more or less sociable? a preliminary review and call for research. Perspect. Psychol. Sci. 13, 473–491 (2018).
pubmed: 29758166
doi: 10.1177/1745691617746509
Brooks, S. K. et al. The psychological impact of quarantine and how to reduce it: rapid review of the evidence. Lancet 395, 912–920 (2020).
pubmed: 32112714
pmcid: 7158942
doi: 10.1016/S0140-6736(20)30460-8
Ellemers, N. & Jetten, J. Pers. Soc. Psychol. Rev. 17, 3–21 (2013). The many ways to be marginal in a group.
pubmed: 22854860
doi: 10.1177/1088868312453086
Greenaway, K. H., Jetten, J., Ellemers, N. & van Bunderen, L. The dark side of inclusion: undesired acceptance increases aggression. Group Process. Intergroup Relat. 18, 173–189 (2015).
doi: 10.1177/1368430214536063
Owen, L. Five ways the coronavirus is hitting women in Asia. BBC News https://www.bbc.com/news/world-asia-51705199 (2020).
Karney, B.R. Socioeconomic status and intimate relationships. Annu. Rev. Psychol. (in the press).
Karney, B.R. & Neff, L.A. Couples and stress: how demands outside a relationship affect intimacy within the relationship. in The Oxford Handbook of Close Relationships (eds. Simpson, J. A. & Campbell, L.) 664–684 (Oxford Univ.Press, 2013).
Cohan, C. L. & Cole, S. W. Life course transitions and natural disaster: marriage, birth, and divorce following Hurricane Hugo. J. Fam. Psychol. 16, 14–25 (2002).
pubmed: 11915406
doi: 10.1037/0893-3200.16.1.14
Finkel, E.J. The All-or-Nothing Marriage: How the Best Marriages Work. (Dutton, 2017).
Crum, A. J., Jamieson, J. P. & Akinola, M. Optimizing stress: an integrated intervention for regulating stress responses. Emotion 20, 120–125 (2020).
pubmed: 31961190
doi: 10.1037/emo0000670
Jamieson, J. P., Crum, A. J., Goyer, J. P., Marotta, M. E. & Akinola, M. Optimizing stress responses with reappraisal and mindset interventions: an integrated model. Anxiety Stress Coping 31, 245–261 (2018).
pubmed: 29471669
doi: 10.1080/10615806.2018.1442615
Dienstbier, R. A. Arousal and physiological toughness: implications for mental and physical health. Psychol. Rev. 96, 84–100 (1989).
pubmed: 2538855
doi: 10.1037/0033-295X.96.1.84
Epel, E. S., McEwen, B. S. & Ickovics, J. R. Embodying psychological thriving: physical thriving in response to stress. J. Soc. Issues 54, 301–322 (1998).
doi: 10.1111/j.1540-4560.1998.tb01220.x
Hazeldine, J., Arlt, W. & Lord, J. M. Dehydroepiandrosterone as a regulator of immune cell function. J. Steroid Biochem. Mol. Biol. 120, 127–136 (2010).
pubmed: 20060904
doi: 10.1016/j.jsbmb.2009.12.016
Tedeschi, R. G. & Calhoun, L. G. Posttraumatic growth: conceptual foundations and empirical evidence. Psychol. Inq. 15, 1–18 (2004).
doi: 10.1207/s15327965pli1501_01
Crum, A. J., Akinola, M., Martin, A. & Fath, S. The role of stress mindset in shaping cognitive, emotional, and physiological responses to challenging and threatening stress. Anxiety Stress Coping 30, 379–395 (2017).
pubmed: 28120622
doi: 10.1080/10615806.2016.1275585
Crum, A. J., Salovey, P. & Achor, S. Rethinking stress: the role of mindsets in determining the stress response. J. Pers. Soc. Psychol. 104, 716–733 (2013).
pubmed: 23437923
doi: 10.1037/a0031201
Soper, G. A. The lessons of the pandemic. Science 49, 501–506 (1919).
pubmed: 17793800
doi: 10.1126/science.49.1274.501
Byrne, S. & Hart, P. S. The boomerang effect a synthesis of findings and a preliminary theoretical framework. Ann. Int. Commun. Assoc. 33, 3–37 (2009).
doi: 10.1080/23808985.2009.11679083
Burgoon, M., Alvaro, E., Grandpre, J. & Voulodakis, M. Revisiting the theory of psychological reactance: Communicating threats to attitudinal freedom. in The Persuasion Handbook: Developments in Theory and Practice (eds. Dillard, J. P. & Pfau, M.) 213–232 (SAGE, 2002).
Garcia, D. & Rimé, B. Collective emotions and social resilience in the digital traces after a terrorist attack. Psychol. Sci. 30, 617–628 (2019).
pubmed: 30865565
pmcid: 6472144
doi: 10.1177/0956797619831964
Brady, W. J., Crockett, M. & Van Bavel, J. J. The MAD model of moral contagion: the role of motivation, attention and design in the spread of moralized content online. Persp. Psychol. Sci. (in the press).
Duncan, G. J., Brooks-Gunn, J. & Klebanov, P. K. Economic deprivation and early childhood development. Child Dev. 65, 296–318 (1994).
pubmed: 7516849
doi: 10.2307/1131385
Jin, R. L., Shah, C. P. & Svoboda, T. J. The impact of unemployment on health: a review of the evidence. CMAJ 153, 529–540 (1995).
pubmed: 7641151
pmcid: 1487417
Rimal, R. N. & Lapinski, M. K. Why health communication is important in public health. Bull. World Health Organ. 87, 247–247a (2009).
pubmed: 19551226
pmcid: 2672574
doi: 10.2471/BLT.08.056713