TurkPrime Blog

TurkPrime Blog

After the Bot Scare: Understanding What’s Been Happening with Data Collection on MTurk and How to Stop it

Posted by TurkPrime on Sep 18, 2018 2:07:52 PM

Highlights

  • Since early August, researchers have worried that “bots” are contaminating data collected on MTurk.
  • We found workers who submit HITs from suspicious geolocations are using server farms to hide their true location.
  • When using TurkPrime tools to block workers from server farms, we collected high quality data from MTurk workers.
  • We also collected data from workers who use server farms to learn more about them.
  • Our evidence suggests recent data quality problems are tied to foreign workers, not bots.

In this blog, we review recent data quality issues on Mechanical Turk and report the results of a study we conducted to investigate the problem.

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Topics: turkprime, bots, server farms, data quality, high quality data

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

Upcoming New Content on the Blog

Posted by TurkPrime on Nov 17, 2017 11:43:00 AM

Greetings Reader,

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Topics: amazon mechanical turk, online research, primepanels, turkprime

New Feature: Select MTurk Workers by Big Five Personality Types

Posted by Jonathan Robinson on Oct 31, 2017 11:33:00 AM

Run Studies Targeting Specific Big Five Personality Types

TurkPrime introduces a new Big Five personality types qualification: Now social science researchers can run studies targeted to the Big Five:

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Topics: turkprime panels, primepanels, turkprime

Verified US Region Targeting

Posted by TurkPrime on Dec 2, 2016 1:22:00 PM

Problem

Many researchers wish to target participants from specific states or regions of the United States like the Northeast or the West. The problem they often encounter is that using MTurk's Geographic Qualification to specify a particular state is often not adequate to ensure participants actually reside in the specified state.

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Topics: amazon mechanical turk, exclude workers, IP address, IP block, location, region, survey, turkprime

Dynamic Secret Completion Codes for SurveyMonkey

Posted by TurkPrime on Dec 2, 2016 1:04:00 PM

What is the completion rate and dropout rate?

Dropout rate is defined as the percentage of participants who start taking a study but do not complete it. Dropout rate is sometimes referred to as attrition rate, and is the opposite of completion rate (dropout rate = 100 – completion rate). On MTurk, completion rate is defined as the number of Workers who submit a HIT divided by the number of Workers who accept the HIT. Note that, for the definition of completion rate used here, Rejected Workers are counted as completes.

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Topics: amazon mechanical turk, autoapproval, completion code, dynamic, mturk, secret code, surveymonkey, turkprime

How to Create a Universal Exclude Worker List

Posted by Jonathan Robinson on Sep 9, 2016 10:41:00 AM

Problem: 

Requesters may observe that some workers, even those with high Approval ratings, may not perform to their expectations on a study. Sometimes this may result in rejecting their work which affects the Worker approval rating. But, often the work is not acceptable for research but is not worthy of rejection, or, it may simply be the policy of the research lab to approve all assignments for IRB or some ethical standard they may follow.

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Topics: amazon mechanical turk, block worker, exclude, exclude workers, mturk, mturk api, qualification, turkprime

Reusable Include and Exclude Groups

Posted by Jonathan Robinson on Sep 9, 2016 10:36:00 AM

Problem:

You are running a longitudinal study and have identified 1000 workers who you want to allow to take your second phase studies. How do you easily group those workers for easy access.

Or you want to exclude certain workers from taking a number of your studies and wish to group them for easy exclusion in future studies. How can you do that?

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Topics: amazon mechanical turk, exclude, exclude workers, include workers, Longitudinal, qualification, turkprime, worker groups

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