IDEAS home Printed from https://ideas.repec.org/p/beb/wpbels/201403.html
   My bibliography  Save this paper

An Experimental Study of Persuasion Bias and Social Influence in Networks

Author

Listed:
  • Jordi Brandts

    (Institutd'AnalisiEconomica(CSIC)
    Barcelona GSE)

  • Ayça Ebru Giritligil

    (Murat Sertel Center for Advanced Economic Studies
    İstanbul Bilgi University)

  • Roberto A. Weber

    (Department of Economics, University of Zurich)

Abstract

In many areas of social life individuals receive information about a particular issue of interest from multiple sources. When these sources are connected through a network then proper aggregation of this information by an individual involves taking into account the structure of this network. The inability to aggregate properly may lead to various types of distortions. In our experiment a number of agents all want to find out the value of a particular parameter unknown to all. Agents receive private signals about the parameter and agents can communicate their estimates of the parameter repeatedly through a network, the structure of which is known by all players. We present results from experiments with four different networks. We find that the information of agents who have more outgoing links in a network gets more weight in the information aggregation of the other agents than it optimally should. Our results are consistent with the model of “persuasion bias” of De Marzo et al. (2003) and at odds with an alternative heuristic according to which the most influential agents are those with more incoming links.

Suggested Citation

  • Jordi Brandts & Ayça Ebru Giritligil & Roberto A. Weber, 2014. "An Experimental Study of Persuasion Bias and Social Influence in Networks," BELIS Working Papers 2014-03, BELIS, Istanbul Bilgi University.
  • Handle: RePEc:beb:wpbels:201403
    as

    Download full text from publisher

    File URL: http://repeck.bilgi.edu.tr/RePEc/beb/wpbels/BelisWP_BELIS03.pdf
    File Function: First version, 2014
    Download Restriction: no

    Other versions of this item:

    References listed on IDEAS

    as
    1. Markus Mobius & Tuan Phan & Adam Szeidl, 2015. "Treasure Hunt: Social Learning in the Field," NBER Working Papers 21014, National Bureau of Economic Research, Inc.
    2. Enke, Benjamin & Zimmermann, Florian, 2013. "Correlation Neglect in Belief Formation," IZA Discussion Papers 7372, Institute for the Study of Labor (IZA).
    3. Pietro Battiston & Luca Stanca, 2014. "Boundedly Rational Opinion Dynamics in Directed Social Networks: Theory and Experimental Evidence," Working Papers 267, University of Milano-Bicocca, Department of Economics, revised Jan 2014.
    4. Armin Falk & James J. Heckman, 2009. "Lab Experiments are a Major Source of Knowledge in the Social Sciences," Working Papers 200935, Geary Institute, University College Dublin.
    5. Gale, Douglas & Kariv, Shachar, 2003. "Bayesian learning in social networks," Games and Economic Behavior, Elsevier, vol. 45(2), pages 329-346, November.
    6. Daron Acemoglu & Munther A. Dahleh & Ilan Lobel & Asuman Ozdaglar, 2011. "Bayesian Learning in Social Networks," Review of Economic Studies, Oxford University Press, vol. 78(4), pages 1201-1236.
    7. Abhijit Banerjee & Arun G. Chandrasekhar & Esther Duflo & Matthew O. Jackson, 2012. "The Diffusion of Microfinance," NBER Working Papers 17743, National Bureau of Economic Research, Inc.
    8. Peter M. DeMarzo & Dimitri Vayanos & Jeffrey Zwiebel, 2003. "Persuasion Bias, Social Influence, and Unidimensional Opinions," The Quarterly Journal of Economics, Oxford University Press, vol. 118(3), pages 909-968.
    9. Corazzini, Luca & Pavesi, Filippo & Petrovich, Beatrice & Stanca, Luca, 2012. "Influential listeners: An experiment on persuasion bias in social networks," European Economic Review, Elsevier, vol. 56(6), pages 1276-1288.
    10. Enke, Benjamin & Zimmermann, Florian, 2013. "Correlation Neglect in Belief Formation," IZA Discussion Papers 7372, Institute for the Study of Labor (IZA).
    11. Urs Fischbacher, 2007. "z-Tree: Zurich toolbox for ready-made economic experiments," Experimental Economics, Springer;Economic Science Association, vol. 10(2), pages 171-178, June.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Isabel Melguizo, 2017. "Homophily and the Persistence of Disagreement," Working Paper Series Sobre México 2017001, Sobre México. Temas en economía.
    2. Markus Mobius & Tuan Phan & Adam Szeidl, 2015. "Treasure Hunt: Social Learning in the Field," NBER Working Papers 21014, National Bureau of Economic Research, Inc.
    3. Isabel Melguizo, 2017. "Homophily and the Persistence of Disagreement," Working Paper Series Sobre México 2017001, Sobre México. Temas en economía.
    4. Jakob Grazzini & Domenico Massaro, 2016. "Dispersed Information and the Origins of Aggregate Fluctuations," CESifo Working Paper Series 5957, CESifo Group Munich.

    More about this item

    JEL classification:

    • C92 - Mathematical and Quantitative Methods - - Design of Experiments - - - Laboratory, Group Behavior
    • D03 - Microeconomics - - General - - - Behavioral Microeconomics: Underlying Principles
    • D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness

    NEP fields

    This paper has been announced in the following NEP Reports:

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:beb:wpbels:201403. 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: (Fatma Aslan). General contact details of provider: http://edirc.repec.org/data/bebiltr.html .

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service hosted by the Research Division of the Federal Reserve Bank of St. Louis . RePEc uses bibliographic data supplied by the respective publishers.