After the introduction of Mechanical Turk (MTurk) as a human computation work platform, the use of crowdsourcing for data collection in research rose significantly, especially in the psychological sciences.
With the increased use of platforms such as MTurk came questions regarding the price of human labor vis-à-vis compensation to research subjects and implications for “voluntary informed consent.” In both preparatory work and research participation, does incomplete disclosure meet the requirements and standards for informed consent?
This webinar provides an overview of the history of the use of crowdsourcing for research data collection, addresses issues of identifiability and representativeness of MTurk workers, and describes techniques that have been developed to ensure both meaningful consent as well as mechanisms for ensuring that MTurk workers get compensated for their participation even if they were to withdraw from the study.
After participating in this webinar, attendees will be able to:
Present a history of the use of crowdsourcing using platforms such as MTurk
Understand the use of this platform for research data collection
Examine themes of identifiability, representativeness, and consent when crowdsourcing data collection