Influential Listeners: An Experiment on Persuasion Bias in Social Networks
This paper presents an experimental investigation of persuasion bias, a form of bounded rationality whereby agents communicating through a social network are unable to account for possible repetitions in the information they receive. The results indicate that network structure plays a significant role in determining social influence. However, the most influential agents are not those with more outgoing links, as predicted by the persuasion bias hypothesis, but those with more incoming links. We show that a boundedly rational updating rule that takes into account not only agents' outdegree, but also their indegree, provides a better explanation of the experimental data. In this framework, consensus beliefs tend to be swayed towards the opinions of influential listeners. We then present an effort-weighted updating model as a more general characterization of information aggregation in social networks.
|Date of creation:||Aug 2010|
|Date of revision:||Aug 2010|
|Contact details of provider:|| Postal: |
Phone: +39 02 6448 3089
Fax: +39 02 6448 3085
Web page: http://dipeco.economia.unimib.itEmail:
More information through EDIRC
References listed on IDEAS
Please report citation or reference errors to , or , if you are the registered author of the cited work, log in to your RePEc Author Service profile, click on "citations" and make appropriate adjustments.:
- Banerjee, Abhijit V, 1992. "A Simple Model of Herd Behavior," The Quarterly Journal of Economics, MIT Press, vol. 107(3), pages 797-817, August.
- Daron Acemoglu & Munther A. Dahleh & Ilan Lobel & Asuman Ozdaglar, 2008.
"Bayesian Learning in Social Networks,"
NBER Working Papers
14040, National Bureau of Economic Research, Inc.
- Sushil Bikhchandani & David Hirshleifer & Ivo Welch, 2010.
"A theory of Fads, Fashion, Custom and cultural change as informational Cascades,"
Levine's Working Paper Archive
1193, David K. Levine.
- Bikhchandani, Sushil & Hirshleifer, David & Welch, Ivo, 1992. "A Theory of Fads, Fashion, Custom, and Cultural Change in Informational Cascades," Journal of Political Economy, University of Chicago Press, vol. 100(5), pages 992-1026, October.
- Syngjoo Choi & Douglas Gale & Shachar Kariv, 2012.
"Social learning in networks: a Quantal Response Equilibrium analysis of experimental data,"
Review of Economic Design,
Springer, vol. 16(2), pages 135-157, September.
- Shachar Kariv & Syngjoo Choi & Douglas Gale, 2007. "Social Learning in Networks: A Quantal Response Equilibrium Analysis of Experimental Data," Levine's Bibliography 843644000000000107, UCLA Department of Economics.
- Bala, V. & Goyal, S., 1995.
"Learning from Neighbors,"
Econometric Institute Research Papers
EI 9549-/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
- Bogaçhan Çelen & Shachar Kariv, 2004. "Distinguishing Informational Cascades from Herd Behavior in the Laboratory," American Economic Review, American Economic Association, vol. 94(3), pages 484-498, June.
- Abhijit Banerjee & Drew Fudenberg, 2010.
"Word of Mouth Learning,"
Levine's Working Paper Archive
723, David K. Levine.
- Peter M. DeMarzo & Dimitri Vayanos & Jeffrey Zwiebel, 2003.
"Persuasion bias, social influence, and uni-dimensional opinions,"
LSE Research Online Documents on Economics
454, London School of Economics and Political Science, LSE Library.
- Peter M. Demarzo & Dimitri Vayanos & Jeffrey Zwiebel, 2003. "Persuasion Bias, Social Influence, And Unidimensional Opinions," The Quarterly Journal of Economics, MIT Press, vol. 118(3), pages 909-968, August.
- Zwiebel, Jeffrey H. & Vayanos, Dimitri & DeMarzo, Peter M., 2001. "Persuasion Bias, Social Influence, and Uni-Dimensional Opinions," Research Papers 1719, Stanford University, Graduate School of Business.
- Lones Smith & Peter Sorensen, 2000.
"Pathological Outcomes of Observational Learning,"
Econometric Society, vol. 68(2), pages 371-398, March.
- Smith, L. & Sorensen, P., 1996. "Pathological Outcomes of Observational Learning," Economics Papers 115, Economics Group, Nuffield College, University of Oxford.
- Smith, L. & Sorensen, P., 1996. "Pathological Outcomes of Observational Learning," Working papers 96-19, Massachusetts Institute of Technology (MIT), Department of Economics.
- Timothy Conley & Udry Christopher, 2001. "Social Learning Through Networks: The Adoption of New Agricultural Technologies in Ghana," American Journal of Agricultural Economics, Agricultural and Applied Economics Association, vol. 83(3), pages 668-673.
- Urs Fischbacher, 2007. "z-Tree: Zurich toolbox for ready-made economic experiments," Experimental Economics, Springer, vol. 10(2), pages 171-178, June.
- Anderson, Lisa R & Holt, Charles A, 1997. "Information Cascades in the Laboratory," American Economic Review, American Economic Association, vol. 87(5), pages 847-62, December.
- Gale, Douglas & Kariv, Shachar, 2003. "Bayesian learning in social networks," Games and Economic Behavior, Elsevier, vol. 45(2), pages 329-346, November.
- Celen, Bogachan & Kariv, Shachar, 2004. "Observational learning under imperfect information," Games and Economic Behavior, Elsevier, vol. 47(1), pages 72-86, April.
- Syngjoo Choi & Douglas Gale & Shachar Kariv, 2005. "Learning in Networks: An Experimental Study," Levine's Bibliography 122247000000000044, UCLA Department of Economics.
- Syngjoo Choi, 2012. "A cognitive hierarchy model of learning in networks," Review of Economic Design, Springer, vol. 16(2), pages 215-250, September.
When requesting a correction, please mention this item's handle: RePEc:mib:wpaper:196. See general information about how to correct material in RePEc.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Roberto Reale)
If references are entirely missing, you can add them using this form.