Trust and Manipulation in Social Networks
We 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.
|Date of creation:||Sep 2013|
|Date of revision:|
|Note:||View the original document on HAL open archive server: http://halshs.archives-ouvertes.fr/halshs-00881145|
|Contact details of provider:|| Web page: http://hal.archives-ouvertes.fr/|
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.:
- 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.
- Daron Acemoglu & Asuman Ozdaglar, 2011.
"Opinion Dynamics and Learning in Social Networks,"
Dynamic Games and Applications,
Springer, vol. 1(1), pages 3-49, March.
- 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.
- 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.
- Berno Buechel & Tim Hellmann & Stefan Kloessner, 2012. "Opinion Dynamics under Conformity," Working Papers 469, Bielefeld University, Center for Mathematical Economics.
When requesting a correction, please mention this item's handle: RePEc:hal:cesptp:halshs-00881145. 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: (CCSD)
If references are entirely missing, you can add them using this form.