Published on in Vol 24, No 1 (2022): January

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/28749, first published .
Crowdsourcing for Machine Learning in Public Health Surveillance: Lessons Learned From Amazon Mechanical Turk

Crowdsourcing for Machine Learning in Public Health Surveillance: Lessons Learned From Amazon Mechanical Turk

Crowdsourcing for Machine Learning in Public Health Surveillance: Lessons Learned From Amazon Mechanical Turk

Journals

  1. Shakeri Hossein Abad Z, Butler G, Thompson W, Lee J. Physical Activity, Sedentary Behavior, and Sleep on Twitter: Multicountry and Fully Labeled Public Data Set for Digital Public Health Surveillance Research. JMIR Public Health and Surveillance 2022;8(2):e32355 View
  2. Benjamin V, Raghu T. Augmenting Social Bot Detection with Crowd-Generated Labels. Information Systems Research 2023;34(2):487 View

Books/Policy Documents

  1. Noaeen M, Doiron D, Syer J, Brook J. Principles and Advances in Population Neuroscience. View
  2. Schneider J, Eisenhardt D, Utama C, Meske C. Solutions and Technologies for Responsible Digitalization. View