Opinion Dynamics and Learning in Social Networks

We provide an overview of recent research on belief and opinion dynamics in social networks. We discuss both Bayesian and non-Bayesian models of social learning and focus on the implications of the form of learning (e.g., Bayesian vs. non-Bayesian), the sources of information (e.g., observation v...

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Main Authors: Acemoglu, Daron, Ozdaglar, Asuman E.
Other Authors: Massachusetts Institute of Technology. Department of Economics
Format: Article
Language:en_US
Published: Springer-Verlag 2011
Online Access:http://hdl.handle.net/1721.1/61795
https://orcid.org/0000-0003-0908-7491
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author Acemoglu, Daron
Ozdaglar, Asuman E.
author2 Massachusetts Institute of Technology. Department of Economics
author_facet Massachusetts Institute of Technology. Department of Economics
Acemoglu, Daron
Ozdaglar, Asuman E.
author_sort Acemoglu, Daron
collection MIT
description We provide an overview of recent research on belief and opinion dynamics in social networks. We discuss both Bayesian and non-Bayesian models of social learning and focus on the implications of the form of learning (e.g., Bayesian vs. non-Bayesian), the sources of information (e.g., observation vs. communication), and the structure of social networks in which individuals are situated on three key questions: (1) whether social learning will lead to consensus, i.e., to agreement among individuals starting with diff erent views; (2) whether social learning will effectively aggregate dispersed information and thus weed out incorrect beliefs; (3) whether media sources, prominent agents, politicians and the state will be able to manipulate beliefs and spread misinformation in a society.
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spelling mit-1721.1/617952022-09-28T18:19:21Z Opinion Dynamics and Learning in Social Networks Acemoglu, Daron Ozdaglar, Asuman E. Massachusetts Institute of Technology. Department of Economics Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Massachusetts Institute of Technology. Laboratory for Information and Decision Systems Acemoglu, Daron Acemoglu, Daron We provide an overview of recent research on belief and opinion dynamics in social networks. We discuss both Bayesian and non-Bayesian models of social learning and focus on the implications of the form of learning (e.g., Bayesian vs. non-Bayesian), the sources of information (e.g., observation vs. communication), and the structure of social networks in which individuals are situated on three key questions: (1) whether social learning will lead to consensus, i.e., to agreement among individuals starting with diff erent views; (2) whether social learning will effectively aggregate dispersed information and thus weed out incorrect beliefs; (3) whether media sources, prominent agents, politicians and the state will be able to manipulate beliefs and spread misinformation in a society. 2011-03-24T18:58:52Z 2011-03-24T18:58:52Z 2010-08 Article http://purl.org/eprint/type/JournalArticle 2153-0785 2153-0793 http://hdl.handle.net/1721.1/61795 Acemoglu, Daron and Asuman Ozdaglar. "Opinion Dynamics and Learning in Social Networks." Dynamic Games and Applications, 1.1 (March 2011) : p.3-49. https://orcid.org/0000-0003-0908-7491 en_US http://dx.doi.org/10.1007/s13235-010-0004-1 Dynamic Games and Applications Creative Commons Attribution-Noncommercial-Share Alike 3.0 http://creativecommons.org/licenses/by-nc-sa/3.0/ application/pdf Springer-Verlag MIT web domain
spellingShingle Acemoglu, Daron
Ozdaglar, Asuman E.
Opinion Dynamics and Learning in Social Networks
title Opinion Dynamics and Learning in Social Networks
title_full Opinion Dynamics and Learning in Social Networks
title_fullStr Opinion Dynamics and Learning in Social Networks
title_full_unstemmed Opinion Dynamics and Learning in Social Networks
title_short Opinion Dynamics and Learning in Social Networks
title_sort opinion dynamics and learning in social networks
url http://hdl.handle.net/1721.1/61795
https://orcid.org/0000-0003-0908-7491
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