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...
Main Authors: | , |
---|---|
Other Authors: | |
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 |
_version_ | 1811088660103168000 |
---|---|
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. |
first_indexed | 2024-09-23T14:05:31Z |
format | Article |
id | mit-1721.1/61795 |
institution | Massachusetts Institute of Technology |
language | en_US |
last_indexed | 2024-09-23T14:05:31Z |
publishDate | 2011 |
publisher | Springer-Verlag |
record_format | dspace |
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 |
work_keys_str_mv | AT acemogludaron opiniondynamicsandlearninginsocialnetworks AT ozdaglarasumane opiniondynamicsandlearninginsocialnetworks |