As strong as the weakest node: The impact of misinformation in social networks
Author
Abstract
Suggested Citation
DOI: 10.1016/j.jet.2023.105773
Download full text from publisher
As the access to this document is restricted, you may want to search for a different version of it.
References listed on IDEAS
- Mira Frick & Ryota Iijima & Yuhta Ishii, 2020.
"Belief Convergence under Misspecified Learning: A Martingale Approach,"
Cowles Foundation Discussion Papers
2235R, Cowles Foundation for Research in Economics, Yale University, revised Mar 2021.
- Mira Frick & Ryota Iijima & Yuhta Ishii, 2020. "Belief Convergence under Misspecified Learning: A Martingale Approach," Cowles Foundation Discussion Papers 2235R2, Cowles Foundation for Research in Economics, Yale University, revised Dec 2021.
- Frick, Mira & , & Ishii, Yuhta, 2021. "Belief Convergence under Misspecified Learning: A Martingale Approach," CEPR Discussion Papers 16788, C.E.P.R. Discussion Papers.
- Dasaratha, Krishna & He, Kevin, 2020.
"Network structure and naive sequential learning,"
Theoretical Economics, Econometric Society, vol. 15(2), May.
- Krishna Dasaratha & Kevin He, 2017. "Network Structure and Naive Sequential Learning," Papers 1703.02105, arXiv.org, revised May 2020.
- Mira Frick & Ryota Iijima & Yuhta Ishii, 2020.
"Misinterpreting Others and the Fragility of Social Learning,"
Econometrica, Econometric Society, vol. 88(6), pages 2281-2328, November.
- Mira Frick & Ryota Iijima & Yuhta Ishii, 2019. "Misinterpreting Others and the Fragility of Social Learning," Cowles Foundation Discussion Papers 2160, Cowles Foundation for Research in Economics, Yale University.
- Mira Frick & Ryota Iijima & Yuhta Ishii, 2019. "Misinterpreting Others and the Fragility of Social Learning," Cowles Foundation Discussion Papers 2160R, Cowles Foundation for Research in Economics, Yale University, revised Mar 2020.
- Antonio Guarino & Philippe Jehiel, 2013.
"Social Learning with Coarse Inference,"
American Economic Journal: Microeconomics, American Economic Association, vol. 5(1), pages 147-174, February.
- Antonio Guarino & Philippe Jehie, 2009. "Social Learning with Coarse Inference," Levine's Working Paper Archive 814577000000000292, David K. Levine.
- Antonio Guarino & Philippe Jehiel, 2013. "Social Learning with Coarse Inference," Post-Print hal-00813047, HAL.
- Antonio Guarino & Philippe Jehiel, 2013. "Social Learning with Coarse Inference," PSE-Ecole d'économie de Paris (Postprint) hal-00813047, HAL.
- Levy, Gilat & Razin, Ronny, 2018. "Information diffusion in networks with the Bayesian Peer Influence heuristic," Games and Economic Behavior, Elsevier, vol. 109(C), pages 262-270.
- Jadbabaie, Ali & Molavi, Pooya & Sandroni, Alvaro & Tahbaz-Salehi, Alireza, 2012. "Non-Bayesian social learning," Games and Economic Behavior, Elsevier, vol. 76(1), pages 210-225.
- Pooya Molavi & Alireza Tahbaz‐Salehi & Ali Jadbabaie, 2018. "A Theory of Non‐Bayesian Social Learning," Econometrica, Econometric Society, vol. 86(2), pages 445-490, March.
- Levy, Gilat & Razin, Ronny, 2018. "Information diffusion in networks with the Bayesian Peer Influence heuristic," LSE Research Online Documents on Economics 86554, London School of Economics and Political Science, LSE Library.
- Benjamin Golub & Matthew O. Jackson, 2012. "How Homophily Affects the Speed of Learning and Best-Response Dynamics," The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 127(3), pages 1287-1338.
- Rabin, Matthew & Eyster, Erik & Weizsäcker, Georg, 2015.
"An Experiment on Social Mislearning,"
CEPR Discussion Papers
11020, C.E.P.R. Discussion Papers.
- Eyster, Erik & Rabin, Matthew & Weizsäcker, Georg, 2018. "An Experiment On Social Mislearning," Rationality and Competition Discussion Paper Series 73, CRC TRR 190 Rationality and Competition.
- Mueller-Frank, Manuel & Neri, Claudia, 2021. "A general analysis of boundedly rational learning in social networks," Theoretical Economics, Econometric Society, vol. 16(1), January.
- Peter M. DeMarzo & Dimitri Vayanos & Jeffrey Zwiebel, 2003.
"Persuasion Bias, Social Influence, and Unidimensional Opinions,"
The Quarterly Journal of Economics, President and Fellows of Harvard College, vol. 118(3), pages 909-968.
- Zwiebel, Jeffrey H. & Vayanos, Dimitri & DeMarzo, Peter M., 2001. "Persuasion Bias, Social Influence, and Uni-Dimensional Opinions," Research Papers 1719, Stanford University, Graduate School of Business.
- DeMarzo, Peter M. & Vayanos, Dimitri & Zwiebel, Jeffrey, 2003. "Persuasion bias, social influence, and uni-dimensional opinions," LSE Research Online Documents on Economics 454, London School of Economics and Political Science, LSE Library.
- Dasaratha, Krishna & He, Kevin, 2021.
"An experiment on network density and sequential learning,"
Games and Economic Behavior, Elsevier, vol. 128(C), pages 182-192.
- Krishna Dasaratha & Kevin He, 2019. "An Experiment on Network Density and Sequential Learning," Papers 1909.02220, arXiv.org, revised May 2021.
- Bohren, Aislinn & Hauser, Daniel, 2017.
"Learning with Heterogeneous Misspecified Models: Characterization and Robustness,"
CEPR Discussion Papers
12036, C.E.P.R. Discussion Papers.
- J. Aislinn Bohren & Daniel N. Hauser, 2021. "Learning with Heterogeneous Misspecfied Models: Characterization and Robustness," PIER Working Paper Archive 21-005, Penn Institute for Economic Research, Department of Economics, University of Pennsylvania.
- 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.
- Erik Eyster & Matthew Rabin, 2010. "Naïve Herding in Rich-Information Settings," American Economic Journal: Microeconomics, American Economic Association, vol. 2(4), pages 221-243, November.
- Yaniv, Ilan & Milyavsky, Maxim, 2007. "Using advice from multiple sources to revise and improve judgments," Organizational Behavior and Human Decision Processes, Elsevier, vol. 103(1), pages 104-120, May.
- Kathie M. d'I. Treen & Hywel T. P. Williams & Saffron J. O'Neill, 2020. "Online misinformation about climate change," Wiley Interdisciplinary Reviews: Climate Change, John Wiley & Sons, vol. 11(5), September.
- J. Aislinn Bohren & Daniel N. Hauser, 2021. "Learning With Heterogeneous Misspecified Models: Characterization and Robustness," Econometrica, Econometric Society, vol. 89(6), pages 3025-3077, November.
Most related items
These are the items that most often cite the same works as this one and are cited by the same works as this one.- Dasaratha, Krishna & He, Kevin, 2020.
"Network structure and naive sequential learning,"
Theoretical Economics, Econometric Society, vol. 15(2), May.
- Krishna Dasaratha & Kevin He, 2017. "Network Structure and Naive Sequential Learning," Papers 1703.02105, arXiv.org, revised May 2020.
- Li, Wei & Tan, Xu, 2021. "Cognitively-constrained learning from neighbors," Games and Economic Behavior, Elsevier, vol. 129(C), pages 32-54.
- Abhijit Banerjee & Olivier Compte, 2024.
"Consensus and Disagreement: Information Aggregation under (Not So) Naive Learning,"
Journal of Political Economy, University of Chicago Press, vol. 132(8), pages 2790-2829.
- Abhijit Banerjee & Olivier Compte, 2022. "Consensus and Disagreement: Information Aggregation under (not so) Naive Learning," NBER Working Papers 29897, National Bureau of Economic Research, Inc.
- Abhijit Banerjee & Olivier Compte, 2023. "Consensus and Disagreement: Information Aggregation under (not so) Naive Learning," Papers 2311.08256, arXiv.org.
- Mira Frick & Ryota Iijima & Yuhta Ishii, 2020.
"Belief Convergence under Misspecified Learning: A Martingale Approach,"
Cowles Foundation Discussion Papers
2235R, Cowles Foundation for Research in Economics, Yale University, revised Mar 2021.
- Mira Frick & Ryota Iijima & Yuhta Ishii, 2020. "Belief Convergence under Misspecified Learning: A Martingale Approach," Cowles Foundation Discussion Papers 2235R2, Cowles Foundation for Research in Economics, Yale University, revised Dec 2021.
- Frick, Mira & , & Ishii, Yuhta, 2021. "Belief Convergence under Misspecified Learning: A Martingale Approach," CEPR Discussion Papers 16788, C.E.P.R. Discussion Papers.
- Khandelwal, Vatsal, 2024. "Learning in networks with idiosyncratic agents," Games and Economic Behavior, Elsevier, vol. 144(C), pages 225-249.
- Buechel, Berno & Klößner, Stefan & Meng, Fanyuan & Nassar, Anis, 2023.
"Misinformation due to asymmetric information sharing,"
Journal of Economic Dynamics and Control, Elsevier, vol. 150(C).
- Buechel Berno & Klößner, Stefan & Meng, Fanyuan & Nassar, Anis, 2022. "Misinformation due to asymmetric information sharing," FSES Working Papers 528, Faculty of Economics and Social Sciences, University of Freiburg/Fribourg Switzerland.
- Mira Frick & Ryota Iijima & Yuhta Ishii, 2018.
"Dispersed Behavior and Perceptions in Assortative Societies,"
Cowles Foundation Discussion Papers
2128, Cowles Foundation for Research in Economics, Yale University.
- Mira Frick & Ryota Iijima & Yuhta Ishii, 2018. "Dispersed Behavior and Perceptions in Assortative Societies," Cowles Foundation Discussion Papers 2128R2, Cowles Foundation for Research in Economics, Yale University, revised Oct 2021.
- Mira Frick & Ryota Iijima & Yuhta Ishii, 2018. "Dispersed Behavior and Perceptions in Assortative Societies," Cowles Foundation Discussion Papers 2128R, Cowles Foundation for Research in Economics, Yale University, revised Mar 2019.
- Frick, Mira & , & Ishii, Yuhta, 2021. "Dispersed Behavior and Perceptions in Assortative Societies," CEPR Discussion Papers 16789, C.E.P.R. Discussion Papers.
- Polanski, Arnold & Vega-Redondo, Fernando, 2023. "Homophily and influence," Journal of Economic Theory, Elsevier, vol. 207(C).
- Mira Frick & Ryota Iijima & Yuhta Ishii, 2020.
"Misinterpreting Others and the Fragility of Social Learning,"
Econometrica, Econometric Society, vol. 88(6), pages 2281-2328, November.
- Mira Frick & Ryota Iijima & Yuhta Ishii, 2019. "Misinterpreting Others and the Fragility of Social Learning," Cowles Foundation Discussion Papers 2160, Cowles Foundation for Research in Economics, Yale University.
- Mira Frick & Ryota Iijima & Yuhta Ishii, 2019. "Misinterpreting Others and the Fragility of Social Learning," Cowles Foundation Discussion Papers 2160R, Cowles Foundation for Research in Economics, Yale University, revised Mar 2020.
- Arieli, Itai & Babichenko, Yakov & Shlomov, Segev, 2021. "Virtually additive learning," Journal of Economic Theory, Elsevier, vol. 197(C).
- Levy, Gilat & Razin, Ronny, 2018. "Information diffusion in networks with the Bayesian Peer Influence heuristic," Games and Economic Behavior, Elsevier, vol. 109(C), pages 262-270.
- Germano, Fabrizio & Sobbrio, Francesco, 2020.
"Opinion dynamics via search engines (and other algorithmic gatekeepers),"
Journal of Public Economics, Elsevier, vol. 187(C).
- Fabrizio Germano & Francesco Sobbrio, 2016. "Opinion dynamics via search engines (and other algorithmic gatekeepers)," Economics Working Papers 1552, Department of Economics and Business, Universitat Pompeu Fabra, revised Mar 2018.
- Fabrizio Germano & Francesco Sobbrio, 2018. "Opinion Dynamics via Search Engines (and other Algorithmic Gatekeepers)," Papers 1810.06973, arXiv.org, revised Oct 2018.
- Fabrizio Germano & Francesco Sobbrio, 2017. "Opinion Dynamics via Search Engines (and other Algorithmic Gatekeepers)," Working Papers 962, Barcelona School of Economics.
- Fabrizio Germano & Francesco Sobbrio, 2017. "Opinion Dynamics via Search Engines (and other Algorithmic Gatekeepers)," CESifo Working Paper Series 6541, CESifo.
- Tristan Gagnon-Bartsch & Antonio Rosato, 2024.
"Quality Is in the Eye of the Beholder: Taste Projection in Markets with Observational Learning,"
American Economic Review, American Economic Association, vol. 114(11), pages 3746-3787, November.
- Gagnon-Bartsch, Tristan & Rosato, Antonio, 2022. "Quality is in the eye of the beholder: taste projection in markets with observational learning," MPRA Paper 115426, University Library of Munich, Germany.
- Gagnon-Bartsch, Tristan & Bushong, Benjamin, 2022. "Learning with misattribution of reference dependence," Journal of Economic Theory, Elsevier, vol. 203(C).
- Gallo, E. & Langtry, A., 2020. "Social Networks, Confirmation Bias and Shock Elections," Cambridge Working Papers in Economics 2099, Faculty of Economics, University of Cambridge.
- Eger, Steffen, 2016. "Opinion dynamics and wisdom under out-group discrimination," Mathematical Social Sciences, Elsevier, vol. 80(C), pages 97-107.
- Fernandes, Marcos R., 2023.
"Confirmation bias in social networks,"
Mathematical Social Sciences, Elsevier, vol. 123(C), pages 59-76.
- Marcos Fernandes, 2019. "Confirmation Bias in Social Networks," Department of Economics Working Papers 19-05, Stony Brook University, Department of Economics.
- Marcos Ross Fernandes, 2023. "Confirmation Bias in Social Networks," Working Papers, Department of Economics 2023_02, University of São Paulo (FEA-USP).
- Marcos R. Fernandes, 2022. "Confirmation Bias in Social Networks," Papers 2207.12594, arXiv.org, revised Feb 2023.
- Simon Board & Moritz Meyer‐ter‐Vehn, 2021. "Learning Dynamics in Social Networks," Econometrica, Econometric Society, vol. 89(6), pages 2601-2635, November.
- Mira Frick & Ryota Iijima & Yuhta Ishii, 2020. "Belief Convergence under Misspecified Learning: A Martingale Approach," Cowles Foundation Discussion Papers 2235R3, Cowles Foundation for Research in Economics, Yale University, revised Apr 2022.
- Edoardo Gallo & Alastair Langtry, 2020. "Social networks, confirmation bias and shock elections," Papers 2011.00520, arXiv.org.
More about this item
Keywords
Social learning; Misinformation; Disinformation; DeGroot updating; Quasi-Bayesian updating; Social networks;All these keywords.
JEL classification:
- D80 - Microeconomics - - Information, Knowledge, and Uncertainty - - - General
- D83 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Search; Learning; Information and Knowledge; Communication; Belief; Unawareness
- D85 - Microeconomics - - Information, Knowledge, and Uncertainty - - - Network Formation
Statistics
Access and download statisticsCorrections
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:eee:jetheo:v:215:y:2024:i:c:s0022053123001692. See general information about how to correct material in RePEc.
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 bibliographic 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.
For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/inca/622869 .
Please note that corrections may take a couple of weeks to filter through the various RePEc services.