Discover and read the best of Twitter Threads about #pseudosci
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More #AIhype #PSEUDOSCI #SnakeOil
We can detect X from Y! In this case, we're to believe X is depression (and Y is the public Twitter data), but actually >>
We can detect X from Y! In this case, we're to believe X is depression (and Y is the public Twitter data), but actually >>
It hasn't been tested against actual mental health data, but rather a scraped dataset with labels inferred based on what's in (or not in) the tweets.
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I'm beginning to wonder what kind of training journalists receive regarding covering technology. Surely there are some best practices being taught in journalism programs to avoid falling for this bs?
So, my point here was that "building public trust" only makes sense as a research goal in circumstances where such public trust is in fact a public good.
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For example, public trust in effective vaccines (like the ones we have for COVID-19 and many other diseases) is important, because widespread vaccination brings about public goods (lower burden of disease, less pressure on the healthcare system).
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Likewise, public trust in democratic systems (to the extent that they are truly democratic) brings about public goods, because broad voter participation makes for better governance.
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