Trust and manipulation in social networks
AbstractWe investigate the role of manipulation in a model of opinion formation where agents have opinions about some common question of interest. Agents repeatedly communicate with their neighbors in the social network, can exert some effort to manipulate the trust of others, and update their opinions taking weighted averages of neighbors’ opinions. The incentives to manipulate are given by the agents’ preferences. We show that manipulation can modify the trust structure and lead to a connected society, and thus, make the society reaching a consensus. Manipulation fosters opinion leadership, but the manipulated agent may even gain influence on the long-run opinions. In sufficiently homophilic societies, manipulation accelerates (slows down) convergence if it decreases (increases) homophily. Finally, we investigate the tension between information aggregation and spread of misinformation. We find that if the ability of the manipulating agent is weak and the agents underselling (overselling) their information gain (lose) overall influence, then manipulation reduces misinformation and agents converge jointly to more accurate opinions about some underlying true state.
Download InfoIf you experience problems downloading a file, check if you have the proper application to view it first. In case of further problems read the IDEAS help page. Note that these files are not on the IDEAS site. Please be patient as the files may be large.
Bibliographic InfoPaper provided by Université catholique de Louvain, Center for Operations Research and Econometrics (CORE) in its series CORE Discussion Papers with number 2013050.
Date of creation: 23 Sep 2013
Date of revision:
Contact details of provider:
Postal: Voie du Roman Pays 34, 1348 Louvain-la-Neuve (Belgium)
Fax: +32 10474304
Web page: http://www.uclouvain.be/core
More information through EDIRC
social networks; trust; manipulation; opinion leadership; consensus; wisdom of crowds;
Other versions of this item:
- Manuel Förster & Ana Mauleon & Vincent Vannetelbosch, 2013. "Trust and Manipulation in Social Networks," Documents de travail du Centre d'Economie de la Sorbonne 13065, Université Panthéon-Sorbonne (Paris 1), Centre d'Economie de la Sorbonne.
- Manuel Förster & Ana Mauleon & Vincent Vannetelbosch, 2013. "Trust and Manipulation in Social Networks," UniversitÃ© Paris1 PanthÃ©on-Sorbonne (Post-Print and Working Papers) halshs-00881145, HAL.
- D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search, Learning, and Information
- D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
- Z13 - Other Special Topics - - Cultural Economics - - - Economic Sociology; Economic Anthropology; Social and Economic Stratification
This paper has been announced in the following NEP Reports:
- NEP-ALL-2013-11-02 (All new papers)
- NEP-CDM-2013-11-02 (Collective Decision-Making)
- NEP-CTA-2013-11-02 (Contract Theory & Applications)
- NEP-GTH-2013-11-02 (Game Theory)
- NEP-MIC-2013-11-02 (Microeconomics)
- NEP-NET-2013-11-02 (Network Economics)
- NEP-SOC-2013-11-02 (Social Norms & Social Capital)
- NEP-URE-2013-11-02 (Urban & Real Estate Economics)
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.:
- Shachar Kariv & Syngjoo Choi & Douglas Gale, 2007.
"Social Learning in Networks: A Quantal Response Equilibrium Analysis of Experimental Data,"
843644000000000107, UCLA Department of Economics.
- 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.
- Berno Buechel & Tim Hellmann & Stefan Kloessner, 2012.
"Opinion Dynamics under Conformity,"
469, Bielefeld University, Center for Mathematical Economics.
- Büchel, Berno & Hellmann, Tim & Klößner, Stefan, 2013. "Opinion Dynamics under Conformity," Annual Conference 2013 (Duesseldorf): Competition Policy and Regulation in a Global Economic Order 79770, Verein für Socialpolitik / German Economic Association.
- CAULIER, Jean-François & MAULEON, Ana & VANNETELBOSCH, Vincent, 2013. "Allocation rules for coalitional network games," CORE Discussion Papers 2013032, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
- Gullberg, Anne Therese, 2008. "Lobbying friends and foes in climate policy: The case of business and environmental interest groups in the European Union," Energy Policy, Elsevier, vol. 36(8), pages 2954-2962, August.
- Daron Acemoglu & Asuman E. Ozdaglar, 2010.
"Opinion Dynamics and Learning in Social Networks,"
Levine's Working Paper Archive
661465000000000222, David K. Levine.
- 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.
- Acemoglu, Daron & Ozdaglar, Asuman & ParandehGheibi, Ali, 2010. "Spread of (mis)information in social networks," Games and Economic Behavior, Elsevier, vol. 70(2), pages 194-227, November.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: (Alain GILLIS).
If references are entirely missing, you can add them using this form.