Reach and speed of judgment propagation in the laboratory

Significance Individual judgments, feelings, and behaviors can spread from person to person in social networks, similarly to the propagation of infectious diseases. Despite major implications for many social phenomena, the underlying social-contagion processes are poorly understood. We examined how participants’ perceptual judgments spread from one person to another and across diffusion chains. We gauged the speed, reach, and scale of social contagion. Judgment propagation tended to slow down with increasing social distance from the source. Crucially, it vanished beyond a social horizon of three to four people. These results advance the understanding of some of the mechanisms underlying social-contagion phenomena as well as their scope across domains as diverse as political mobilization, health practices, and emotions. In recent years, a large body of research has demonstrated that judgments and behaviors can propagate from person to person. Phenomena as diverse as political mobilization, health practices, altruism, and emotional states exhibit similar dynamics of social contagion. The precise mechanisms of judgment propagation are not well understood, however, because it is difficult to control for confounding factors such as homophily or dynamic network structures. We introduce an experimental design that renders possible the stringent study of judgment propagation. In this design, experimental chains of individuals can revise their initial judgment in a visual perception task after observing a predecessor’s judgment. The positioning of a very good performer at the top of a chain created a performance gap, which triggered waves of judgment propagation down the chain. We evaluated the dynamics of judgment propagation experimentally. Despite strong social influence within pairs of individuals, the reach of judgment propagation across a chain rarely exceeded a social distance of three to four degrees of separation. Furthermore, computer simulations showed that the speed of judgment propagation decayed exponentially with the social distance from the source. We show that information distortion and the overweighting of other people’s errors are two individual-level mechanisms hindering judgment propagation at the scale of the chain. Our results contribute to the understanding of social-contagion processes, and our experimental method offers numerous new opportunities to study judgment propagation in the laboratory.

[1]  S. Bonaccio,et al.  Advice taking and decision-making: An integrative literature review, and implications for the organizational sciences , 2006 .

[2]  Cameron Marlow,et al.  A 61-million-person experiment in social influence and political mobilization , 2012, Nature.

[3]  Damon Centola,et al.  The Spread of Behavior in an Online Social Network Experiment , 2010, Science.

[4]  A-L Barabási,et al.  Structure and tie strengths in mobile communication networks , 2006, Proceedings of the National Academy of Sciences.

[5]  Wolfgang Gaissmaier,et al.  The amplification of risk in experimental diffusion chains , 2015, Proceedings of the National Academy of Sciences.

[6]  N. Christakis,et al.  Social Networks and Cooperation in Hunter-Gatherers , 2011, Nature.

[7]  Jeffrey T. Hancock,et al.  Experimental evidence of massive-scale emotional contagion through social networks , 2014, Proceedings of the National Academy of Sciences.

[8]  N. Christakis,et al.  SUPPLEMENTARY ONLINE MATERIAL FOR: The Collective Dynamics of Smoking in a Large Social Network , 2022 .

[9]  Lev Muchnik,et al.  Identity and Opinion: A Randomized Experiment , 2014 .

[10]  Richard P. Larrick,et al.  Strategies for revising judgment: how (and how well) people use others' opinions. , 2009, Journal of experimental psychology. Learning, memory, and cognition.

[11]  I. Couzin,et al.  Self-Organization and Collective Behavior in Vertebrates , 2003 .

[12]  N. Christakis,et al.  The Spread of Obesity in a Large Social Network Over 32 Years , 2007, The New England journal of medicine.

[13]  Nicholas A. Christakis,et al.  Social contagion theory: examining dynamic social networks and human behavior , 2011, Statistics in medicine.

[14]  Nigel Harvey,et al.  Development of Experience-Based Judgment and Decision Making: The Role of Outcome Feedback , 2005 .

[15]  Duncan J. Watts,et al.  Cooperation and Contagion in Web-Based, Networked Public Goods Experiments , 2010, SECO.

[16]  Damon Centola An Experimental Study of Homophily in the Adoption of Health Behavior , 2011, Science.

[17]  Dylan Walker,et al.  Tie Strength, Embeddedness, and Social Influence: A Large-Scale Networked Experiment , 2014, Manag. Sci..

[18]  Damon Centola Damon Centola Behavior An Experimental Study of Homophily in the Adoption of Health , 2011 .

[19]  Richard Gonzalez,et al.  Computational Models for the Combination of Advice and Individual Learning , 2009, Cogn. Sci..

[20]  Mark Newman,et al.  Models of the Small World , 2000 .

[21]  Jure Leskovec,et al.  The dynamics of viral marketing , 2005, EC '06.

[22]  D. Watts,et al.  Influentials, Networks, and Public Opinion Formation , 2007 .

[23]  S. Bikhchandani,et al.  You have printed the following article : A Theory of Fads , Fashion , Custom , and Cultural Change as Informational Cascades , 2007 .

[24]  Nicholas A. Christakis,et al.  Cooperative behavior cascades in human social networks , 2009, Proceedings of the National Academy of Sciences.

[25]  B. Skinner,et al.  Experimental and theoretical models of human cultural evolution , 2014 .

[26]  S. Fortunato,et al.  Statistical physics of social dynamics , 2007, 0710.3256.

[27]  W. Newsome,et al.  A selective impairment of motion perception following lesions of the middle temporal visual area (MT) , 1988, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[28]  M. Macy,et al.  Complex Contagions and the Weakness of Long Ties1 , 2007, American Journal of Sociology.

[29]  Yaniv,et al.  Advice Taking in Decision Making: Egocentric Discounting and Reputation Formation. , 2000, Organizational behavior and human decision processes.

[30]  Forum on Global Violence Prevention VIOLENCE IS A CONTAGIOUS DISEASE , 2013 .

[31]  K. Laland,et al.  Experimental Evidence for the Co-Evolution of Hominin Tool-Making Teaching and Language , 2014, Nature Communications.