Associate Professor, UC Davis. PI, Cognitive Communication Science Lab. Associate Editor, Journal of Communication. Ski bum at heart. https://cogcommscience.com/
Richard Huskey
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✨New paper out @nature.com ✨ For 8 weeks around the 2024 US election, we randomly assigned 2,000 people to use social media algos we built ourselves. Do engagement-based algorithms amplify intergroup, moral & emotional (IME) content—and does that distort how we see political norms? 🧵🔗 👇
Too provocative a title, but the take home message is spot on:
“Our brains are equipped with a suite of decision making algorithms. Different contexts call for different algorithms. Tech companies are adept at hijacking those algorithms for their benefit, not ours” www.nytimes.com/2026/05/12/o...
We've known that socioeconomics (SES) matters for the 🧠. New & 🤯 is that SES drowns out all other brain associations, incl. IQ. If you train an algorithm to predict IQ from brain data, it's still way better at predicting SES. Science Mag: www.science.org/doi/10.1126/...
@smarek0502.bsky.social 👀🧵👇
Good news everyone 🥳 Our (w @vincentab.bsky.social) primer on models as prediction machines (with the marginaleffects package) is finally officially published!>
journals.sagepub.com/doi/10.1177/...
At one point, a student joked that if I kept “editing” so much, I might as well submit the article under my own name and save us both time.
Excellent explainer of the recent BOLD x metabolism controversy... worth a read!
“Does the evidence presented by Epp et al. warrant a wholesale dismissal of BOLD-fMRI? The answer is: certainly not.”
Fascinating. Important. The stunning thing I’ve seen as an editor, reviewer, & educator, is the use of generative AI to accelerate low quality work. Rather than use these tools to do more ambitious scholarship, there is a race to the bottom. This post, the first in its series, documents exactly that
