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Sequential Voting Promotes Collective Discovery in Social Recommendation Systems

The dataset used in the paper is a simulated MOOC forum where participants answer questions, provide explanations, and vote on the quality of the explanations.

Data and Resources

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Cite this as

L. Elisa Celis, Peter M. Krafft, Nathan Kobe (2025). Dataset: Sequential Voting Promotes Collective Discovery in Social Recommendation Systems. https://doi.org/10.57702/epj13wvv

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Additional Info

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Created January 2, 2025
Last update January 2, 2025
Defined In https://doi.org/10.48550/arXiv.1603.04466
Author L. Elisa Celis
More Authors
Peter M. Krafft
Nathan Kobe
Homepage https://github.com/pkrafft/Sequential-Voting-Promotes-Collective-Discovery-in-Social-Recommendation-Systems