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        <datestamp>2026-09-15T15:36:08Z</datestamp>
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          <dc:title>Data for The average laboratory samples a population of 7,300 Amazon Mechanical Turk workers 2012-2017</dc:title>
          <dc:creator>Neil Stewart (552299)</dc:creator>
          <dc:creator>Christoph Ungemach (20051505)</dc:creator>
          <dc:creator>Adam J. L. Harris (3826156)</dc:creator>
          <dc:creator>Daniel M. Bartels (12430610)</dc:creator>
          <dc:creator>Ben R. Newell (7869755)</dc:creator>
          <dc:creator>Gabriele Paolacci (6102365)</dc:creator>
          <dc:creator>Jesse Chandler (6116894)</dc:creator>
          <dc:subject>Human computation</dc:subject>
          <dc:subject>Business enterprises -- Computer networks</dc:subject>
          <dc:subject>Population forecasting</dc:subject>
          <dc:subject>Human-computer interaction</dc:subject>
          <dc:subject>Internet marketing</dc:subject>
          <dc:subject>Migrated from ePrints</dc:subject>
          <dc:description>Using capture-recapture analysis we estimate the effective size of the active Amazon Mechanical Turk (MTurk) population that a typical laboratory can access to be about 7,300 workers. We also estimate that the time taken for half of the workers to leave the MTurk pool and be replaced is about 7 months. Each laboratory has its own population pool which overlaps, often extensively, with the hundreds of other laboratories using MTurk. Our estimate is based on a sample of 114,460 completed sessions from 33,408 unique participants and 689 sessions across seven laboratories in the US, Europe, and Australia from January 2012 to March 2015.&lt;br&gt;&lt;br&gt;Data record consists of 4 data files in .txt and .csv format, two PDF documentation files and a readme for the data. Raw data for these analyses come from the batch files which one can download from the MTurk requester web pages. These batch files contain, among other things, a WorkerId which is a unique identifier for each worker and that allows us to track workers across experiments and laboratories. To preempt the results, our laboratories are sampling from overlapping pools, each pool with fewer than 10,000 workers. Analysis was done using the R programming language.</dc:description>
          <dc:date>2019-01-17T00:00:00Z</dc:date>
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          <dc:identifier>10.82444/warw.33803359.v1</dc:identifier>
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          <dc:rights>CC BY 4.0</dc:rights>
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