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

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

DOI retrieved: January 2, 2025

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
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Peter M. Krafft
Nathan Kobe
Homepage https://github.com/pkrafft/Sequential-Voting-Promotes-Collective-Discovery-in-Social-Recommendation-Systems