TurkPrime Blog

TurkPrime Blog

TurkPrime Tools to Help Combat Responses from Suspicious Geolocations

Posted by Jonathan Robinson on Aug 15, 2018 2:51:00 PM

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 TurkPrime database. In this blog, we introduce two new tools TurkPrime is launching to help researchers combat suspicious activity on MTurk and reiterate some of the important takeaways from this conversation so far.

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Topics: amazon mechanical turk, bots, mechanical turk, mturk, workers

Concerns about Bots on Mechanical Turk: Problems and Solutions

Posted by Leib Litman on Aug 10, 2018 6:46:00 PM

Data quality on online platforms

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.

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Topics: bots, mechanical turk, mturk, quality, turkprime, workers

New Feature: Exclude Highly Active Workers

Posted by Leib Litman on Dec 15, 2017 12:30:00 PM

Some workers on MTurk are extremely active, and take the majority of posted HITs. This can lead to many issues, some of which are outlined in our previous post. Although MTurk has over 100,000 workers who take surveys each year, and around 25,000 who take surveys each month, you are much more likely to recruit highly active workers who take a majority of HITs. About 1,000 workers (1% of workers) take 21% of the HITs. About 10,000 workers (10% of workers) take 74% of all HITs.

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Topics: active, active workers, amazon mechanical turk, exclude, exclude workers, HIT, mechanical turk, mturk, online research, turkprime, workers

Best recruitment practices: working with issues of non-naivete on MTurk

Posted by Leib Litman on Dec 8, 2017 3:59:00 PM

It is important to consider how many highly experienced workers there are on Mechanical Turk. As discussed in previous posts, there is a population pool of active workers in the thousands, but this is far from exhaustible. A small group of workers take a very large number of HITs posted to MTurk, and these workers are very experienced and have seen measures commonly used in the social and behavioral sciences. Research has shown that when participants are repeatedly exposed to the same measures, this can have negative effects on data collection, changing the way workers perform, creating treatment effects, giving participants insight into the purpose of some studies, and in some cases impact effect sizes of experimental manipulations. This issue is referred to as non-naivete (Chandler, 2014; Chandler, 2016).

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Topics: amazon mechanical turk, approval rating, experience, exposure, HIT, mechanical turk, mturk, naivete, non-naive, primepanels, qualification, recruitment, requester, workers

Strengths and Limitations of Mechanical Turk

Posted by Leib Litman on Nov 20, 2017 11:12:00 PM

Hundreds of academic papers are published each year using data collected through Mechanical Turk. Researchers have gravitated to Mechanical Turk primarily because it provides high quality data quickly and affordably. However, Mechanical Turk has strengths and weaknesses as a platform for data collection. While Mechanical Turk has revolutionized data collection, it is by no means a perfect platform. Some of the major strengths and limitations of MTurk are summarized below.

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Topics: amazon mechanical turk, demographics, exclude workers, google form mechanical turk, HIT, mechanical turk, mturk, mturk api, panels, qualification, study, turkprime panels, unique worker, worker groups, workers

MTurk Panels on Your Own Requester Account

Posted by Jonathan Robinson on Sep 8, 2016 6:44:00 PM

Studies with Panels  for just $0.15 - 0.75 / complete

Now you can run Mechanical Turk studies using your own Requester account and specify over two dozen demographic traits!. The traits include gender, ethnicity, age, marital status and sexual orientation. But it does not stop there! The available options also include occupation, medical and health history, cell phone use and much more.

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Topics: amazon mechanical turk, demographics, mechanical turk, mturk, qualification, traits, turkprime, turkprime panels

Google Forms Integration with TurkPrime

Posted by Jonathan Robinson on Jul 26, 2016 3:02:00 PM

Google Forms can be used to deliver a study with TurkPrime in a similar manner to other survey platforms (like Qualtrics and SurveyMonkey).

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Topics: google form mechanical turk, google forms, mechanical turk, mturk, secret code, secret key, survey, turkprime

Demographic Consistency Over Time on Mechanical Turk

Posted by Tzvi Abberbock on Apr 12, 2016 12:15:00 PM

Problem

Ever wonder if workers are being honest with you when they answer a survey? Or, if you specify that your study should be taken only by Women, whether some workers take the study even though they are not women?

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Topics: amazon mechanical turk, demographics, gender gap, mechanical turk, mturk, panels

Anonymize Mechanical Turk Worker IDs

Posted by Jonathan Robinson on Jan 18, 2016 6:32:00 PM

We recently launched a ground-breaking feature that helps protect Mechanical Turk worker identities. It has been reported in the literature that Mechanical Turk Worker IDs can be used to identify the worker. This is because Amazon uses the same value for both the Worker ID on Mechanical Turk and elsewhere on Amazon properties like Amazon.com product reviews.

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Topics: amazon mechanical turk, anonymize, anonymous, exclude workers, HIT, include workers, mechanical turk, mturk, turkprime

Block Multiple Responses from the Same IP Address

Posted by Jonathan Robinson on Jan 7, 2016 10:36:00 AM

Block Duplicate IP Addresses

Our most popular feature request has been to allow the blocking of multiple responses from the same IP address.

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Topics: amazon mechanical turk, IP address, IP block, mechanical turk, unique worker, workerid