Raw LLM Responses
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Between AI and MAGA I closed out my Facebook account. I was only using it to kee…
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When only 5 jobs require human skills you better be a step ahead and plan your e…
ytc_UgxCPxFSk…
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Why are any of you giving these myna birds quarter? And here's a heads-up for yo…
ytc_Ugz07A_LI…
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Puts a new meeting to the AC/DC, maximum overdrive movie. They need to introdu…
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It’s the same with AI art. It was bad. But slowly over time it will get better, …
ytc_UgzaCcvi8…
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@eeshanm9565 humans are the prey. Not AI. AI will quickly learn humans are defe…
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It's just upsetting, because if used ethically AI could've been a good tool to h…
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I mean in the same way human researchers get in deep trouble if they reproduce w…
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Comment
According to [Pew](https://www.pewresearch.org/internet/2019/04/24/sizing-up-twitter-users/), only 22% of Americans are on Twitter. That's less than are on Snapchat, or Linkedin, or Pinterest, or Instagram, or Facebook, or YouTube. And most users don't tweet. Only 10% are responsible for 80% of tweets. Add to that, Twitter users skew younger and more ideological.
Pew also concludes that those 10% can be representative of the broader population in certain ways, but not others. Especially the more hyperbolic political tweets.
So this *may* represent overall trends in the country, but what it isn't is an accurate representation of the general populace. It would be a mistake to take this AI's conclusions at face value.
Edit: this study focused on members of Congress, so it would be easy to assume it's *more* accurate since they very much skew older. But that would be a mistake.
Politicians on twitter are almost always reactive. The views they're expressing can be directly correlated with those of their followers. If anything, this study and it's AI are further distilling the already overly partisan views of Twitter, which themselves are a partisan distillation of the general public.
It would be more helpful at this point to use the AI to sample a range of American twitter users that are not politicians. I think we'd see a much lower success rate in its predictions.
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AI Bias
1593032050.0
♥ 208
Coding Result
| Dimension | Value |
|---|---|
| Responsibility | none |
| Reasoning | unclear |
| Policy | unclear |
| Emotion | indifference |
| Coded at | 2026-04-25T08:33:43.502452 |
Raw LLM Response
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