Performance of Crowdsourcing to Monitor and Filter Relevant S c ien tific L iterature

Authors

  • Vera Granikov
  • Reem El Sherif
  • Pierre Pluye

DOI:

https://doi.org/10.29173/cais1049

Abstract

With 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.

Published

2018-08-15

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

Issue

Section

Posters / Affiches