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When faked data are uncovered, they are very often crude and "obvious" in their construction. Are we not catching smarter fakers because most fakers are not smart, or because the data they fake is too realistic for us to spot them?
I force my students to wear bodycams when collecting data. In my experience it is really the only good way we currently have to prevent people from simply faking data.
Do you mention that explicitly to the participants? And how do you handle social desirability biases in those cases?
I think this has actually been proposed for animal research. I recently read that one journal was considering implementing a rule that if you used video recorded data to make inferences you have to post the videos. Makes sense, no privacy concerns with animal participants
You joke, but I have started to take photos of data collection sessions to prove that they happened.
I genuinely wondered whether you were serious for a moment (until I saw you saying you weren’t. That was a clue).
Okay, meta-scientist!
With things like GANs could they also fake videos. Or would that be too expensive.
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