Department of Digitalization

jbdigi

Department of Digitalization

Jason
Burton
Assistant professor


Room: HOW/60-5.16
E-mail: jb.digi@cbs.dk
jbdigi
Presentation

Jason is an Assistant Professor at the Department of Digitalization. His research uses computational methods to study human behavior in the context of a digital society. This involves topics ranging from how people fundamentally reason with information and make decisions, to how the structure of online information environments influences the beliefs people form, to how online environments can be (re)designed to promote collective intelligence. Jason holds a PhD in Psychology from Birkbeck, University of London and an MSc in Organizational Psychiatry & Psychology from King’s College London.

Primary research areas

• Computational social science

• Judgment and decision-making

• Social networks

• Collective intelligence

Social media
Link to this homepage
www.cbs.dk/en/staff/jbdigi
Courses
  • Big Data Analytics
  • Big Data Management
Supervision

Thesis and project topics that fall within the above research areas or use computational methods, such as:

  • Online experiments
  • Agent-based modelling and simulation
  • Analyses of digital trace data
Selected publications
  • Burton, J. W. (2023). Algorithmic Amplification for Collective Intelligence. Knight First Amendment Institute at Columbia University, Algorithmic Amplification and Society Essay Series. 
  • Burton, J.W., Cruz, N. & Hahn, U. (2021) Reconsidering evidence of moral contagion in online social networks. Nature Human Behaviour, 5, 1629–1635.
  • Burton, J.W., Cruz, N. & Hahn, U. (2021) Reconsidering evidence of moral contagion in online social networks. Nature Human Behaviour, 5, 1629–1635 (2021).
  • Burton, J. W., Harris, A. J., Shah, P., & Hahn, U. (2022). Optimism where there is none: Asymmetric belief updating observed with valence-neutral life events. Cognition, 218, 104939.
  • Burton, J. W., Stein, M. K., & Jensen, T. B. (2020). A systematic review of algorithm aversion in augmented decision making. Journal of Behavioral Decision Making, 33(2), 220-239.
Publications sorted by:
2023
Jason W. Burton; Mari-Klara Stein; Tina Blegind Jensen / Beyond Algorithm Aversion in Human-Machine Decision-Making
In: Judgment in Predictive Analytics. ed. /Matthias Seifert. Cham : Springer 2023, p. 3–26 (International Series in Operations Research and Management Science, Vol. 343)
Book chapter > peer review
2022
Jason W. Burton; Momme Von Sydow; Christoph Merdes; Ulrike Hahn / How Social Networks Give Rise to Extreme Beliefs
Paper presented at ACM Collective Intelligence Conference 2022, 2022
Paper > peer review
Jason W. Burton; Adam J. L. Harris; Punit Shah; Ulrike Hahn / Optimism Where There Is None : Asymmetric Belief Updating Observed with Valence-neutral Life Events.
In: Cognition, Vol. 218, 1.2022
Journal article > peer review
Abdullah Almaatouq; M. Amin Rahimian; Jason W. Burton; Abdulla Alhajri / The Distribution of Initial Estimates Moderates the Effect of Social Influence on the Wisdom of the Crowd
In: Scientific Reports, Vol. 12, No. 1, 12.2022
Journal article > peer review
Jason William Burton / Understanding and Supporting Belief Accuracy in a Digital World
London : Birkbeck, University of London 2022, 159 p.
PhD thesis
2021
Jason W. Burton; Nicole Cruz; Ulrike Hahn / Reconsidering Evidence of Moral Contagion in Online Social Networks
In: Nature Human Behaviour, Vol. 5, No. 12, 12.2021, p. 1629-1635
Journal article > peer review
2020
Jason W. Burton; Mari Klara Stein; Tina Blegind Jensen / A Systematic Review of Algorithm Aversion in Augmented Decision Making
In: Journal of Behavioral Decision Making, Vol. 33, No. 2, 4.2020, p. 220-239
Review article > peer review
Outside activities

2023:

  • Affiliate of the Pioneer Centre for Artificial Intelligence
  • Associate Research Scientist at the Center for Adaptive Rationality, Max Planck Institute for Human Development