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  1. Nov 2020
  2. psyarxiv.com psyarxiv.com
    Review of Best Practice Recommendations for Ensuring High Quality Data with Amazon’s Mechanical Turk
    1
    1. marta_radosevic 18 Nov 2020
      in BehSci

      Bauer, B., Larsen, K. L., Caulfield, N., Elder, D., Jordan, S., & Capron, D. (2020). Review of Best Practice Recommendations for Ensuring High Quality Data with Amazon’s Mechanical Turk. PsyArXiv. https://doi.org/10.31234/osf.io/m78sf

      is:preprint lang:en data interpretation accuracy low-quality data crowdsourcing Amazon's Mechanical Turk MTurk recommendation online data methodology
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    Tags

    • crowdsourcing
    • MTurk
    • accuracy
    • online data
    • is:preprint
    • methodology
    • low-quality data
    • recommendation
    • interpretation
    • lang:en
    • data
    • Amazon's Mechanical Turk

    Annotators

    • marta_radosevic

    URL

    psyarxiv.com/m78sf/
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