Regarding the Most Recent Amazon Mechanical Turk Data Contamination
maxhuibai.com
maxhuibai.com
https://blog.prolific.ac/bots-and-data-quality-on-crowdsourc... https://blog.prolific.ac/how-to-improve-your-data-quality/
We’ve done a lot of work on improving data quality on Prolific and filtering out these kind of accounts and heavily invest in making sure our pool are honest, attentive and engaged.
If anyone’s concerned about data quality in online samples please get feel free to get in touch.
If anyone is having trouble, feel free to reach out.
Source: Working with MTurk since 2013, including a 3 month internship in the belly of the beast. Starting a related PhD this fall.
Are MTurkers a random sample?
It's described as a very cost-effective method compared to reaching out the subject directly and trying to convince them to gather somewhere for the study.
Also, it's described as game-changing when it comes to studies that must have a large base and made previously impossible(due to practical reasons) studies possible.
It's been discussed here [0] as well, but it's important to highlight that prior to MTurk social psychology studies were (and actually probably still are to a great extent) widely susceptible to the "college sophomore problem" wherein a sample meant to provide conclusions that would generalize to the wider population of the human race was composed almost exclusively of college age children. This meant that a large number of conclusions in social psychology have historically been based on non-representative samples. Methodologically, MTurk can be seen as a major improvement over the status quo in this regard.
There's something in this process of deriving authenticity that seems... flimsy?
I mean, substitute "Skeletor" and "Hordak" as stand-ins for "KKK" and "Nazi Party", and "Eternia" for "America".
When you make a video game out of clicking questionnaire responses, and seal it in an inconsequential vacuum, why would anyone expect conclusive results that "Skeletor" and "Hordak" should be regarded objectively as detestable? There's no real consequence to saying "blah", "yay" or "boo" and I don't think I'd expect success if I were to try and ground my hypothesis on simple, obtuse good/bad/indifferent political opinions, to prove whether response data is "authentic" or not.
This feels like a weaker conclusion than gauging lie detector readings.
You can safely ground response data on facts like:
The sky is blue.
Wood comes from plants.
Stars exist in outer space.
But, you can't really demand predictable results to bind on opinions. Is Mr. Rogers nice?
Are leather jackets good?
Do old cars go fast?
Whether evil people started answering, or ambivalent people started shrugging at the questions doesn't provide a conclusive assessment of whether a system is producing useful data. I feel like this is a garbage-in-garbage-out scenario, no?