It is well‐documented that there exists a pool of frequent survey takers who participate in
many different online nonprobability panels in order to earn cash or other incentives‐‐so …

This chapter discusses common concerns that researchers have with Mechanical Turk
(MTurk), reviewing the evidence that bears upon each concern. It suggests that readers are …

Participant attentiveness is a concern for many researchers using Amazon's Mechanical
Turk (MTurk). Although studies comparing the attentiveness of participants on MTurk versus …

Crowdsourcing (CS) of micro tasks is a relatively new, open source work form enabled by
information and communication technologies. While anecdotal evidence of its benefits …

When something is wrong, someone is harmed. This hypothesis derives from the theory of
dyadic morality, which suggests a moral cognitive template of wrongdoing agent and …

Recent research has demonstrated that cognitive biases such as the confirmation bias or the
anchoring effect can negatively affect the quality of crowdsourced data. In practice, however …

Empirical social science often relies on data that are not observed in the field, but are
transformed into quantitative variables by expert researchers who analyze and interpret …

The reliance on small samples and underpowered studies may undermine the replicability
of scientific findings. Large sample sizes may be necessary to achieve adequate statistical …

ABSTRACT Amazon Mechanical Turk (MTurk) is a powerful tool that is more commonly
being used to recruit behavioral research participants for accounting research. This …

The emergence of online labor markets makes it far easier to use individual human raters to
evaluate materials for data collection and analysis in the social sciences. In this paper, we …