Experimenting With Online Governance
Bibliographic Data
| ID | 13136804 |
|---|---|
| Authors | Ofer Tchernichovski (0000-0001-6788-614X, City University of New York, corresponding author), Seth Frey (0000-0002-0807-4683, University of California, Davis), Nori Jacoby (0000-0003-2868-0100, Max Planck Institute for Empirical Aesthetics), D Conley (0000-0002-5174-7222, Princeton University) |
| Year | 2021 |
| Volume | 3 |
| Publication date | 2021-04-26 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Frontiers in Human Dynamics (JOURNAL) |
| Journal identifiers | ISSN: 2673-2726 • E-ISSN: 2673-2726 |
| Publisher | Frontiers Media (PUBLISHER • CH) |
| DOI | 10.3389/fhumd.2021.629285 |
| OpenAlex | W3157161080 |
| Language | EN |
| References cited | 62 |
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
Business · Corporate governance · Dashboard · Data science · Knowledge management · Pace · Computer Science · Evolutionary Game Theory and Cooperation · Experimental Behavioral Economics Studies · Opinion Dynamics and Social Influence
Culture and the Evolutionary Process
Governing the Commons
Enriching Word Vectors with Subword Information
oTree—An open-source platform for laboratory, online, and field experiments
The Moral Machine experiment
Lab Experiments for the Study of Social-Ecological Systems
The Spread of Behavior in an Online Social Network Experiment
Multirelational organization of large-scale social networks in an online world
The online laboratory
Collaborative environmental governance
JsPsych
How social influence can undermine the wisdom of crowd effect
Vox Populi
Prolific.ac—A subject pool for online experiments
Sample Selection Bias as a Specification Error
Experimental evidence of massive-scale emotional contagion through social networks
Laboratories of Oligarchy? How the Iron Law Extends to Peer Production
The Origin and Evolution of Cultures
Tradeoff Between Distributed Social Learning and Herding Effect in Online Rating Systems
The second-order dilemma of public goods and capital accumulation
Experiments on the Provision of Public Goods. I. Resources, Interest, Group Size, and the Free-Rider Problem
The wisdom of select crowds
Reputation and Cooperation in Voluntary Exchanges
Networks, Dynamics, and the Small-World Phenomenon
| Citation velocity | historical |
|---|---|
| Highly cited | No |