Experimenting With Online Governance

Ofer Tchernichovski, Seth Frey, Nori Jacoby, Dalton Conley

Research output: Contribution to journalArticlepeer-review

Abstract

To solve the problems they face, online communities adopt comprehensive governance methods including committees, boards, juries, and even more complex institutional logics. Helping these kinds of communities succeed will require categorizing best practices and creating toolboxes that fit the needs of specific communities. Beyond such applied uses, there is also a potential for an institutional logic itself to evolve, taking advantage of feedback provided by the fast pace and large ecosystem of online communication. Here, we outline an experimental strategy aiming at guiding and facilitating such an evolution. We first review the advantages of studying collective action using recent technologies for efficiently orchestrating massive online experiments. Research in this vein includes attempts to understand how behavior spreads, how cooperation evolves, and how the wisdom of the crowd can be improved. We then present the potential usefulness of developing virtual-world experiments with governance for improving the utility of social feedback. Such experiments can be used for improving community rating systems and monitoring (dashboard) systems. Finally, we present a framework for constructing large-scale experiments entirely in virtual worlds, aimed at capturing the complexity of governance dynamics, to empirically test outcomes of manipulating institutional logic.

Original languageEnglish (US)
Article number629285
JournalFrontiers in Human Dynamics
Volume3
DOIs
StatePublished - 2021

All Science Journal Classification (ASJC) codes

  • Human-Computer Interaction
  • Management, Monitoring, Policy and Law
  • Sociology and Political Science
  • Demography

Keywords

  • collective action
  • cooperation
  • costly signaling
  • crowd wisdom
  • online governance
  • virtual worlds

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