The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
A Theory of Fads, Fashion, Custom, and Cultural Change as Informational Cascades
Open accessAbstract
An informational cascade occurs when it is optimal for an individual, having observed the actions of those ahead of him, to follow the behavior of the preceding individual without regard to his own information. We argue that localized conformity of behavior and the fragility of mass behaviors can be explained by informational cascades.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
A study of normative and informational social influences upon individual judgment.
Deutsch, M., & Gerard, H. B. (1955) · The Journal of Abnormal and Social Psychology · doi:10.1037/h0046408 · Cited by 4,819
Good News and Bad News: Representation Theorems and Applications
Milgrom, P. R. (1981) · The Bell Journal of Economics · doi:10.2307/3003562 · Cited by 3,123
Sparks and prairie fires: A theory of unanticipated political revolution
Kuran, T. (1989) · Public Choice · doi:10.1007/bf00116762 · Cited by 905
Cited by
The spread of true and false news online
Vosoughi, S., Roy, D., & Aral, S. (2018) · Science · doi:10.1126/science.aap9559 · Cited by 8,847
Statistical physics of social dynamics
Castellano, C., Fortunato, S., & Loreto, V. (2009) · Reviews of Modern Physics · doi:10.1103/revmodphys.81.591 · Cited by 4,119
Using Online Conversations to Study Word-of-Mouth Communication
Godes, D., & Mayzlin, D. (2004) · Marketing Science · doi:10.1287/mksc.1040.0071 · Cited by 2,601
Experimental Study of Inequality and Unpredictability in an Artificial Cultural Market
Salganik, M. J., Dodds, P. S., & Watts, D. J. (2006) · Science · doi:10.1126/science.1121066 · Cited by 2,231
How social influence can undermine the wisdom of crowd effect
Lorenz, J., Rauhut, H., Schweitzer, F., & Helbing, D. (2011) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1008636108 · Cited by 1,017
Pavlou, P. A., & Dimoka, A. (2006) · Information Systems Research · doi:10.1287/isre.1060.0106 · Cited by 930
Social Influence Bias: A Randomized Experiment
Muchnik, L., Aral, S., & Taylor, S. J. (2013) · Science · doi:10.1126/science.1240466 · Cited by 892
Bayesian Learning in Social Networks
Acemoglu, D., Dahleh, M. A., Lobel, I., & Ozdaglar, A. (2011) · The Review of Economic Studies · doi:10.1093/restud/rdr004 · Cited by 754
Experimental evidence for tipping points in social convention
Centola, D., Becker, J., Brackbill, D., & Baronchelli, A. (2018) · Science · doi:10.1126/science.aas8827 · Cited by 750
The Network Structure of Exploration and Exploitation
Lazer, D., & Friedman, A. (2007) · Administrative Science Quarterly · doi:10.2189/asqu.52.4.667 · Cited by 696
Nonequilibrium phase transition in the coevolution of networks and opinions
Holme, P., & Newman, M. E. J. (2006) · Physical Review E · doi:10.1103/physreve.74.056108 · Cited by 621
Models of Social Influence: Towards the Next Frontiers
Flache, A., Mäs, M., Feliciani, T., Chattoe-Brown, E., Deffuant, G., Huet, S., & Lorenz, J. (2017) · Journal of Artificial Societies and Social Simulation · doi:10.18564/jasss.3521 · Cited by 601
How citation distortions create unfounded authority: analysis of a citation network
Greenberg, S. A. (2009) · BMJ · doi:10.1136/bmj.b2680 · Cited by 499
Spread of (mis)information in social networks
Acemoglu, D., Ozdaglar, A., & ParandehGheibi, A. (2010) · Games and Economic Behavior · doi:10.1016/j.geb.2010.01.005 · Cited by 444
Social Influence and the Collective Dynamics of Opinion Formation
Moussaïd, M., Kämmer, J. E., Analytis, P. P., & Neth, H. (2013) · PLoS ONE · doi:10.1371/journal.pone.0078433 · Cited by 407
Psychological Strategies for Winning a Geopolitical Forecasting Tournament
Mellers, B., Ungar, L., Baron, J., Ramos, J., Gurcay, B., Fincher, K., Scott, S. E., Moore, D., Atanasov, P., Swift, S. A., et al. (2014) · Psychological Science · doi:10.1177/0956797614524255 · Cited by 312
How Does Popularity Information Affect Choices? A Field Experiment
Tucker, C., & Zhang, J. (2011) · Management Science · doi:10.1287/mnsc.1110.1312 · Cited by 322
Baddeley, M. (2010) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2009.0169 · Cited by 286
Cultural variation: Considerations and implications.
Cohen, D. (2001) · Psychological Bulletin · doi:10.1037/0033-2909.127.4.451 · Cited by 267
Supply disruption management under consumer panic buying and social learning effects
Zheng, R., Shou, B., & Yang, J. (2021) · Omega · doi:10.1016/j.omega.2020.102238 · Cited by 193
Analytical Computation of the Epidemic Threshold on Temporal Networks
Valdano, E., Ferreri, L., Poletto, C., & Colizza, V. (2015) · Physical Review X · doi:10.1103/physrevx.5.021005 · Cited by 187
Common Sense and Sociological Explanations
Watts, D. J. (2014) · American Journal of Sociology · doi:10.1086/678271 · Cited by 176
The emergence of consensus: a primer
Baronchelli, A. (2018) · Royal Society Open Science · doi:10.1098/rsos.172189 · Cited by 161
The Neural Basis of Following Advice
Biele, G., Rieskamp, J., Krugel, L. K., & Heekeren, H. R. (2011) · PLoS Biology · doi:10.1371/journal.pbio.1001089 · Cited by 157
Ben Liu, Q., & Karahanna, E. (2017) · MIS Quarterly · doi:10.25300/misq/2017/41.2.05 · Cited by 113
Yaniv, I., Choshen-Hillel, S., & Milyavsky, M. (2009) · Journal of Experimental Psychology: Learning, Memory, and Cognition · doi:10.1037/a0014589 · Cited by 108
Neural mechanisms of social influence
Mason, M. F., Dyer, R., & Norton, M. I. (2009) · Organizational Behavior and Human Decision Processes · doi:10.1016/j.obhdp.2009.04.001 · Cited by 93
The burden of social proof: Shared thresholds and social influence
MacCoun, R. J. (2012) · Psychological Review · doi:10.1037/a0027121 · Cited by 84
The Great Illusion: Ignorance, Informational Cascades, and the Persistence of Unpopular Norms
Bicchieri, C., & Fukui, Y. (1999) · Business Ethics Quarterly · doi:10.2307/3857639 · Cited by 74
The Cultural Evolution of Epistemic Practices: The Case of Divination
Hong, Z., & Henrich, J. (2021) · Human Nature · doi:10.1007/s12110-021-09408-6 · Cited by 64
Scam Compliance and the Psychology of Persuasion
Modic, D., & Lea, S. E. G. (2013) · SSRN Electronic Journal · doi:10.2139/ssrn.2364464 · Cited by 56
Reach and speed of judgment propagation in the laboratory
Moussaïd, M., Herzog, S. M., Kämmer, J. E., & Hertwig, R. (2017) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1611998114 · Cited by 54
Apesteguia, J., Oechssler, J., & Weidenholzer, S. (2020) · Management Science · doi:10.1287/mnsc.2019.3508 · Cited by 54
Zhang, X., Xu, T., Wei, X., Tang, J., & Ordonez de Pablos, P. (2024) · Journal of Knowledge Management · doi:10.1108/jkm-10-2022-0791 · Cited by 40
Industrial targeting, experimentation and long-run specialization
Klimenko, M. M. (2004) · Journal of Development Economics · doi:10.1016/j.jdeveco.2002.09.001 · Cited by 38
Coordination and Status Influence
Clark, C. R., Clark, S., & Polborn, M. K. (2006) · Rationality and Society · doi:10.1177/1043463106066379 · Cited by 22
Measuring Collapse and Correction in Homogeneous-Panel LLM Debate
Li, X., Liu, M., & Yuen, C. (2026) · arXiv · doi:10.48550/arxiv.2609.35279
Technology-Enabled Trading and Behavioral Biases of Retail Investors in Futures and Options Markets
Ashima, & Nirala, C. (2026) · Nashrlar · doi:10.60078/2026-vol5-iss1-pp82-87
Metadata
- Authors
- Bikhchandani, S., Hirshleifer, D., & Welch, I.
- Venue
- Journal of Political Economy
- Publisher
- University of Chicago Press
- Published
- 1992-10
- Volume
- 100
- Issue
- 5
- Pages
- 992-1026
- ISSN
- 0022-3808 (ISSN-L)
- 1537-534X
- OpenAlex
- W2091087160
- Cited by
- 1,805
- References
- 3
- FWCI
- 1.69
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
