[go: up one dir, main page]
More Web Proxy on the site http://driver.im/
Skip to main content

Comparing Similarity and Homophily-Based Cognitive Models of Influence and Conformity

  • Conference paper
  • First Online:
Social, Cultural, and Behavioral Modeling (SBP-BRiMS 2024)

Abstract

The majority of theories and models of social influence tend to focus on the social-behavioral level and implicitly discount the potential role of cognitive explanations to ground out social phenomena in cognitive operations. The present study describes a preliminary simulation of social influence and conformity using two possible cognitive mechanisms: the first a homophily-based model that weighs belief updating based on generating a latent trust magnitude, and the second is a novel similarity-learning mechanism that weighs memory retrieval via similarity. While the homophily model was able to capture both influence and conformity effects based on degree of initial strength in the belief and crystallization of the belief, the similarity-based model always conformed. Both models exhibited initial learning and larger belief updating while settling to a relatively-stable state over time. Future implications for modeling influence via cognitive factors are discussed.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Subscribe and save

Springer+ Basic
£29.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
GBP 19.95
Price includes VAT (United Kingdom)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
GBP 39.99
Price includes VAT (United Kingdom)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
GBP 49.99
Price includes VAT (United Kingdom)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Anderson, J.R., Bothell, D., Byrne, M.D., Douglass, S., Lebiere, C., Qin, Y.: An integrated theory of the mind. Psychol. Rev. 111(4), 1036 (2004)

    Article  Google Scholar 

  2. Anderson, J.R., Schooler, L.J.: Reflections of the environment in memory. Psychol. Sci. 2(6), 396–408 (1991)

    Article  Google Scholar 

  3. Bamberg, S., Schmidt, P.: Incentives, morality, or habit? predicting students’ car use for university routes with the models of Ajzen, Schwartz, and Triandis. Environ. Behav. 35(2), 264–285 (2003)

    Article  Google Scholar 

  4. Brechwald, W., Prinstein, M.: Beyond homophily: a decade of advances in understanding influence. J. Res. Adolesc. 21(1), 166–179 (2011)

    Article  Google Scholar 

  5. Chi, M.T.: Three types of conceptual change: belief revision, mental model transformation, and categorical shift. In: International Handbook of Research on Conceptual Change, pp. 89–110. Routledge (2009)

    Google Scholar 

  6. Cinelli, M., De Francisci Morales, G., Galeazzi, A., Quattrociocchi, W., Starnini, M.: The echo chamber effect on social media. Proc. Natl. Acad. Sci. 118(9), e2023301118 (2021)

    Article  Google Scholar 

  7. Cusano, L.C.: Thinking styles, conspiracist belief, and the mediating role of the dunning-kruger effect in modeling belief. Ph.D. thesis, San Jose State (2024)

    Google Scholar 

  8. Dandekar, P., Goel, A., Lee, D.T.: Biased assimilation, homophily, and the dynamics of polarization. Proc. Natl. Acad. Sci. 110(15), 5791–5796 (2013)

    Article  MathSciNet  Google Scholar 

  9. Dubois, E., Blank, G.: The echo chamber is overstated: the moderating effect of political interest and diverse media. Inf. Commun. Soc. 21(5), 729–745 (2018)

    Article  Google Scholar 

  10. Ertug, G., Brennecke, J., Kovács, B., Zou, T.: What does homophily do? a review of the consequences of homophily. Acad. Manag. 16(1), 38–69 (2022)

    Article  Google Scholar 

  11. Frigo, V., Chen, L., Rogers, T.: A cognitive mechanism for the persistence of widespread false beliefs. Technical report, PsyArXiv (2020)

    Google Scholar 

  12. Frigo, V., Rogers, T.T.: Evidence for heuristic evidence weighting in real-world beliefs. In: Annual Meeting of the Cognitive Science Society, vol. 45 (2023)

    Google Scholar 

  13. Gonzalez, C., Lerch, J.F., Lebiere, C.: Instance-based learning in dynamic decision making. Cogn. Sci. 27(4), 591–635 (2003)

    Google Scholar 

  14. Gupta, S., Karduni, A., Wall, E.: Belief decay or persistence? a mixed-method study on belief movement over time. Comput. Graph. 42(3), 111–122 (2023)

    Google Scholar 

  15. Jilk, D., Lebiere, C., O’Reilly, R., Anderson, J.: Sal: an explicitly pluralistic cognitive architecture. Exp. Theor. AI 20(3), 197–218 (2008)

    Article  Google Scholar 

  16. Kahneman, D.: Thinking, fast and slow. Macmillan (2011)

    Google Scholar 

  17. Kendeou, P.: A theory of knowledge revision: the development of the krec framework. Educ. Psychol. Rev. 36(2), 44 (2024)

    Article  Google Scholar 

  18. Lebiere, C.: Blending: an act-r mechanism for aggregate retrievals. In: Proceedings of the Sixth Annual ACT-R Workshop (1999)

    Google Scholar 

  19. Lebiere, C., et al.: A functional model of sensemaking in a neurocognitive architecture. Comput. Intell. Neurosci. 2013, 5–5 (2013)

    Article  Google Scholar 

  20. Lombardi, D., Nussbaum, E.M., Sinatra, G.M.: Plausibility judgments in conceptual change and epistemic cognition. Educ. Psychol. 51(1), 35–56 (2016)

    Article  Google Scholar 

  21. Mei, W., Cisneros-Velarde, P., Chen, G., Friedkin, N.E., Bullo, F.: Dynamic social balance and convergent appraisals via homophily and influence mechanisms. Automatica 110, 108580 (2019)

    Article  MathSciNet  Google Scholar 

  22. Oltramari, A., Lebiere, C.: Using ontologies in a cognitive-grounded system: automatic action recognition in video surveillance. In: 7th International Conference on Semantic Technology for Intelligence, Defense, and Security (2012)

    Google Scholar 

  23. Petty, R.E., Cacioppo, J.T., Petty, R.E., Cacioppo, J.T.: The Elaboration Likelihood Model of Persuasion. Springer, Heidelberg (1986). https://doi.org/10.1007/978-1-4612-4964-1_1

    Book  Google Scholar 

  24. Popp, D., Laursen, B., Kerr, M., Stattin, H., Burk, W.K.: Modeling homophily over time with an actor-partner interdependence model. Dev. Psychol. 44(4), 1028 (2008)

    Article  Google Scholar 

  25. Stanovich, K.E., West, R.F.: Advancing the rationality debate. Behav. Brain Sci. 23(5), 701–717 (2000)

    Article  Google Scholar 

  26. Thomson, R., Harrison, A., Trafton, G., Hiatt, L.: An account of interference in associative memory: learning the fan effect. TopiCS 9(1), 69–82 (2017)

    Google Scholar 

  27. Thomson, R., Lebiere, C., Anderson, J.R., Staszewski, J.: A general instance-based learning framework for studying intuitive decision-making in a cognitive architecture. J. Appl. Res. Mem. Cogn. 4(3), 180–190 (2015)

    Article  Google Scholar 

  28. Wyer, R.S., Albarracin, D.: Belief formation, organization, and change: cognitive and motivational influences. Handb. Attit. 273, 322 (2005)

    Google Scholar 

Download references

Acknowledgements

This research was supported by the Office of Naval Research MURI Award N0001422MP00465 and Award 10407118530 from the DoD Basic Research Office. The views expressed in this work are those of the authors and do not necessarily reflect the official policy or position of the United States Military Academy, U.S Army, Office of Naval Research, or U.S. Government.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Robert Thomson .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2024 The Author(s), under exclusive license to Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Thomson, R., Lebiere, C. (2024). Comparing Similarity and Homophily-Based Cognitive Models of Influence and Conformity. In: Thomson, R., et al. Social, Cultural, and Behavioral Modeling. SBP-BRiMS 2024. Lecture Notes in Computer Science, vol 14972. Springer, Cham. https://doi.org/10.1007/978-3-031-72241-7_5

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-72241-7_5

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-72240-0

  • Online ISBN: 978-3-031-72241-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics