Do imposters threaten data quality? An examination of worker misrepresentation and downstream consequences in Amazon's Mechanical Turk workforce

作者：

Highlights：

• Worker misrepresentation is prevalent when eligibility requirement is present.

• The impact of MTurk worker demographic deception is evaluated in two studies.

• Deception status does not impact worker attentiveness.

• Demographic deception threatens data quality and could result in faulty conclusions.

摘要

•Worker misrepresentation is prevalent when eligibility requirement is present.•The impact of MTurk worker demographic deception is evaluated in two studies.•Deception status does not impact worker attentiveness.•Demographic deception threatens data quality and could result in faulty conclusions.

论文关键词：Mechanical Turk,Online data collection,Demographic deception

论文评审过程：Received 23 June 2017, Revised 4 February 2018, Accepted 6 February 2018, Available online 7 February 2018, Version of Record 22 February 2018.

论文官网地址：https://doi.org/10.1016/j.chb.2018.02.005