Herding in humans
Open accessAbstract
Herding is a form of convergent social behaviour that can be broadly defined as the alignment of the thoughts or behaviours of individuals in a group (herd) through local interaction and without centralized coordination. We suggest that herding has a broad application, from intellectual fashion to mob violence; and that understanding herding is particularly pertinent in an increasingly interconnected world. An integrated approach to herding is proposed, describing two key issues: mechanisms of transmission of thoughts or behaviour between agents, and patterns of connections between agents. We show how bringing together the diverse, often disconnected, theoretical and methodological approaches illuminates the applicability of herding to many domains of cognition and suggest that cognitive neuroscience offers a novel approach to its study.
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
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Various forms of social contagion may share the same functional mechanism.
“This suggests, in other words, that various forms of social contagion may share the same functional mechanism (Raafat, Chater, & Frith, 2009).”
From Automatic imitation of multiple agents: A computational model (2019) · cites this paper as Raafat, Chater, & Frith, 2009
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Social Influence: Compliance and Conformity
Cialdini, R. B., & Goldstein, N. J. (2004) · Annual Review of Psychology · doi:10.1146/annurev.psych.55.090902.142015 · Cited by 6,077 · see citing works
Studies of independence and conformity: I. A minority of one against a unanimous majority
Asch, S. E. (1956) · Psychological Monographs: General and Applied · doi:10.1037/h0093718 · Cited by 4,267 · see citing works
Hamilton, W. D. (1971) · Journal of Theoretical Biology · doi:10.1016/0022-5193(71)90189-5 · Cited by 3,506 · see citing works
The ripple effect: emotional contagion and its influence on group behavior
Barsade, S. G. (2002) · Administrative Science Quarterly · doi:10.2307/3094912 · Cited by 3,361 · see citing works
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 2,219 · see citing works
Fowler, J. H., & Christakis, N. A. (2008) · BMJ · doi:10.1136/bmj.a2338 · Cited by 1,990 · see citing works
The Neural Basis of Mentalizing
Frith, C. D., & Frith, U. (2006) · Neuron · doi:10.1016/j.neuron.2006.05.001 · Cited by 1,855 · see citing works
Self-citationSocial cognition and the brain: A meta-analysis
Van Overwalle, F. (2009) · Human Brain Mapping · doi:10.1002/hbm.20547 · Cited by 1,792 · see citing works
Frith, C. D., & Frith, U. (2007) · Current Biology · doi:10.1016/j.cub.2007.05.068 · Cited by 759 · see citing works
Self-citationMasten, C. L., Eisenberger, N. I., Borofsky, L. A., Pfeifer, J. H., McNealy, K., Mazziotta, J. C., & Dapretto, M. (2009) · Social Cognitive and Affective Neuroscience · doi:10.1093/scan/nsp007 · Cited by 529 · see citing works
Flagged first, then by citations
Research works printed but not linked: 29
- Richerson, P.J. and Boyd, R. (2005) Gene-Culture Coevolution and the Evolution of Social Institutions. In Better than Conscious? Decision Making, the Human Mind, and Implications for Institutions (Engel, C. and Singer, W., eds), pp. 305-324, MIT Press
- Shiller, R.J. (2000) Irrational exuberance, Princeton University Press
- Shiller, R.J. (2008) The subprime solution: how today's global financial crisis happened and what to do about it, Princeton University Press
- Akerlof, G.A. and Shiller, R.J. (2009) Animal spirits: how human psychology drives the economy, and why it matters for global capitalism, Princeton University Press
- Rickles, D. (2008) Econophysics and Financial Market Complexity, In Handbook of the Philosophy of Science, Vol.10: Philosophy of Complex Systems, Elsevier 16
- Buchanan, M. (2007) The Social Atom: Why the Rich Get Richer, Cheaters Get Caught, and Your Neighbor Usually Looks Like You, Bloomsbury Publishing 17
- Sumpter, D.J.T. (2006) The principles of collective animal behaviour. Philos. Trans. R. Soc. B -Biol. Sci. 361, 5-22 22
- Dyer, J.R.G. et al. (2009) Leadership, consensus decision making and collective behaviour in humans. Philos. Trans. R. Soc. B -Biol. Sci. 364, 781-789
- Choi, S. et al. (2005) Behavioral Aspects of Learning in Social Networks: An Experimental Study. In Advances in Applied Microeconomics, Vol. 13, Behavioral and Experimental Economics, (Morgan, J., ed.), Berkeley, Calif.: BE Press 33
- Zimbardo, P.G. (2004) A Situationist Perspective on the Psychology of Evil: Understanding How Good People Are Transformed into Perpetrators. In The social psychology of good and evil (Miller, A.G., ed.), Guilford Press 45
- WispeI `, L. (1991) The psychology of sympathy, Plenum Press 46
- Derks, D. et al. (2008) The role of emotion in computer-mediated communication: A review. Comput. Hum. Behav. 24, 766-785
- Hatfield, E. et al. (1994) Emotional contagion, Cambridge University Press 53
- Russell, G.W. (2004) Sport riots: A social-psychological review. Aggression and Violent Behav. 9, 353-378
- Seger, C.R. et al. (2009) Subtle activation of a social categorization triggers group-level emotions. J. Exp. Soc. Psychol.,45, 460-467 doi: 10.1016/j.jesp.2008.12.004 · DOI
- Cheng, A.T.A. et al. (2007) The influence of media reporting of the suicide of a celebrity on suicide rates: a population-based study. Int. J. Epidemiol.,36, 1229-1234 doi: 10.1093/ije/dym196 · DOI
- Hurley, S.L. and Chater, N. (2005) Perspectives on imitation: from neuroscience to social science, MIT Press 69
- Kawagoe, T. and Sasaki, S. (2006) Is Ignoring Public Information Best Policy? Reinforcement Learning. In Information Cascade (Braun, C., ed.), pp. 191-199, Berlin, Springer 75
- Sanfey, A. and Dorris, M. (2009) Games in Humans and Non-human Primates: Scanners to Single Units. In Neuroeconomics (Paul, W.G. et al., eds), pp. 63-80, Academic Press 79
- Coricelli, G. and Nagel, R. (2009) Neural correlates of depth of strategic reasoning in medial prefrontal cortex. Proc. Natl. Acad. Sci. U.S.A. 106, 9163-9168
- Dunbar, R.I.M. (1996) Grooming, gossip, and the evolution of language, Harvard University Press 83
- Novelli, D. et al. (2009) Come together: Two studies concerning the impact of group relations on 'personal space'. Br. J. Soc. Psychol. Epub available on line June 11, 2009, doi:10.1348/014466609X449377 · DOI
- Freud, S. (1922) Group psychology and the analysis of the ego (English translation from Massenpsychologie und Ich-Analyse), The International Psychoanalytical Press 93
- Allport, F.H., (1924) Response to Social Stimulation in the Crowd. In Social psychology Chapter 11. 260-291, Houghton Mifflin
- Penrose, L.S. (1952) On the objective study of crowd behaviour, H.K. Lewis 96 Rogers, E.M. (1962) Diffusion of innovations, Free Press 97
- Newman, M.E.J. et al. (2006) The structure and dynamics of networks 18, Princeton University Press 102
- Guarino, A. and Cipriani, M., (2008) Herd Behavior in Financial Markets: An Experiment with Financial Market Professionals. SSRN eLibrary 106
- Farnsworth, W. (2007) The legal analyst: a toolkit for thinking about the law, University of Chicago Press 108
- Leskovec, J. et al. (2007) Cascading Behavior in Large Blog Graphs http://arxiv.org/abs/0704.2803 · arXiv
Cited by
Sorted by citations
Mirroring and beyond: coupled dynamics as a generalized framework for modelling social interactions
Hasson, U., & Frith, C. D. (2016) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2015.0366 · Cited by 371 · see citing works
Self-citationHerding Brains: A Core Neural Mechanism for Social Alignment
Shamay-Tsoory, S. G., Saporta, N., Marton-Alper, I. Z., & Gvirts, H. Z. (2019) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2019.01.002 · Cited by 289 · see citing works
Within-group synchronization in the prefrontal cortex associates with intergroup conflict
Yang, J., Zhang, H., Ni, J., De Dreu, C. K. W., & Ma, Y. (2020) · Nature Neuroscience · doi:10.1038/s41593-020-0630-x · Cited by 161 · see citing works
(Hans) Korteling, J. E., & Toet, A. (2022) · Encyclopedia of Behavioral Neuroscience, 2nd edition · doi:10.1016/b978-0-12-809324-5.24105-9 · Cited by 65 · see citing works
Write like i write: Herding in the language of online reviews
Michael, L., & Otterbacher, J. (2014) · Proceedings of the International AAAI Conference on Web and Social Media · doi:10.1609/icwsm.v8i1.14511 · Cited by 28 · see citing works
“Raafat and Chater (2009) advocate modeling collective behavior at two levels: pattern (i.e., the structure of connections between individuals) and transmission (i.e., the mechanisms that govern the transfer of information between individuals).”
BackgroundHybrid social learning in human-algorithm cultural transmission
Brinkmann, L., Gezerli, D., Kleist, K. V., Müller, T. F., Rahwan, I., & Pescetelli, N. (2022) · Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences · doi:10.1098/rsta.2020.0426 · Cited by 24 · see citing works
From Involution to Education: A Glance to Chinese Young Generation
Li, C. (2021) · Advances in Social Science, Education and Humanities Research · doi:10.2991/assehr.k.211220.320 · Cited by 23 · see citing works
Automatic imitation of multiple agents: A computational model
Cracco, E., & Cooper, R. P. (2019) · Cognitive Psychology · doi:10.1016/j.cogpsych.2019.101224 · Cited by 23 · see citing works
Chung, D., Yun, K., Kim, J. H., Jang, B., & Jeong, J. (2011) · PLoS ONE · doi:10.1371/journal.pone.0017044 · Cited by 19 · see citing works
McDonnell, A. (2014) · Journal of Behavioral and Brain Science · doi:10.4236/jbbs.2014.47035 · Cited by 6 · see citing works
Greenberg, D. M., Milstein, N., Gilboa, A., Cohen, S., Haimovich, N., Siegman, S., Pinhasi, S., & Gordon, I. (2023) · Psychophysiology · doi:10.1111/psyp.14307 · Cited by 4 · see citing works
Do as We Do, Not as You Think: the Conformity of Large Language Models
Weng, Z., Chen, G., & Wang, W. (2025) · arXiv · doi:10.48550/arxiv.2501.13381 · Cited by 1 · see citing works
“…can foster consensus and coordination among agents as they interact with humans and each other, it may also lead to detrimental herding behavior [21, 22], potentially compromising the reliability of agents’ judgments on critical social issues such as voting, policy recommendations, or ethical…”
- Authors
- Raafat, R. M., Chater, N., & Frith, C.
- Affiliations
- University College London (GB)
- Wellcome Centre for Human Neuroimaging (GB)
- Corresponding author
- Raafat, Ramsey M.
- ORCID
- Frith, Chris
- Venue
- Trends in Cognitive Sciences
- Publisher
- Elsevier BV
- Published
- 2009-10
- Volume
- 13
- Issue
- 10
- Pages
- 420-428
- ISSN
- 1364-6613 (ISSN-L)
- OpenAlex
- W2102746067
- Cited by
- 479
- References
- 10
- Citations by year
- 2026: 15 · 2025: 29 · 2024: 39 · 2023: 38 · 2022: 34 · 2021: 32 · 2020: 43 · 2019: 40 · 2018: 30 · 2017: 28 · 2016: 33 · 2015: 29 · 2014: 28 · 2013: 20 · 2012: 18
- FWCI
- 0.96
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Trends in Cognitive Sciences (publishedVersion)
- PubMed (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- Funders
- Economic and Social Research Council (RES-538-28-1001)
- Topics
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Opinion Dynamics and Social Influence
- Physical Sciences › Engineering › Ocean Engineering › Evacuation and Crowd Dynamics
- Physical Sciences › Computer Science › Computer Networks and Communications › Distributed Control Multi-Agent Systems
- Keywords
- herding behavior, conformity, collective behavior, distributed coordination, local interactions, intellectual fashion, mob violence, social network structure
- MeSH terms
- Animals, Cognition, Humans, Models, Psychological, Social Behavior, Cognitive Science
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