A Case Study From a Recent JESP Article A new study appearing in the Journal of Experimental Social Psychology suggests Americans strongly believe in economic mobility because they fail to appreciate how vast wealth inequality really is. In this blog,...
By now, even casual users of MTurk have heard about recent concerns of “bots” or low quality data. We’ve written about the topic here and laid out evidence that suggests “bots” are actually foreign workers using tools to obscure their true location (here). Perhaps most importantly, we’ve created two tools to help keep these workers out of your studies. In this blog, we introduce a third tool: the Universal Exclude List.
In this blog, we review recent concerns about bots, along with general data quality issues, on Mechanical Turk and report the results of a study we conducted to investigate the problem.
Last week, the research community was struck with concern that “bots” were contaminating data collection on Amazon’s Mechanical Turk (MTurk). We wrote about the issue and conducted our own preliminary investigation into the problem using the CloudResearch database. In this blog, we introduce two new tools CloudResearch is launching to help researchers combat suspicious activity on MTurk and reiterate some of the important takeaways from this conversation so far.
When researchers collect data online, it’s natural to be concerned about data quality. Participants aren’t in the lab, so researchers can’t see who is taking their survey, what those participants are doing while answering questions, or whether participants are who they say they are. Not knowing is unsettling.
CloudResearch is announcing a change in our pricing for the MicroBatch feature. MicroBatch is now included as a Pro feature, with a fee of 2 cents + 5% per complete. This will also provide users with access to all other...
