Performance of Crowdsourcing to Monitor and Filter Relevant S c ien tific L iterature
AbstractWith the ever-growing volume of scientific literature, it is challenging for researchers to stay up-to-date. This prospective study aims to engage a heterogeneous group of participants in monitoring and filtering articles on online consumer health information and measure the “crowd’s” performance to determine whether crowdsourcing could be a reliable solution.
How to Cite
Granikov, V., El Sherif, R., & Pluye, P. (2018). Performance of Crowdsourcing to Monitor and Filter Relevant S c ien tific L iterature. Proceedings of the Annual Conference of CAIS / Actes Du congrès Annuel De l’ACSI. https://doi.org/10.29173/cais1049
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