Assoc. Professor @UW_iSchool, Co-founder of Center for an Informed Public @uwcip. I study misinformation in science & society. Book: https://xitter.cf/t.co/KdCf8xpnNt

Seattle, WA
Joined July 2010
Calling Bullshit: The Art of Skepticism in a Data-Driven World @CT_Bergstrom and I wrote a general-audience book on how to spot and refute misinformation, especially the kind wrapped in data. Coming Aug. 4th, available here: penguinrandomhouse.com/books…
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@jevinwest retweeted
Honored to be quoted alongside my advisor @jevinwest in the latest @Nature news article by @dcastelvecchi! It’s exciting to contribute to the conversation on @SakanaAILabs’s AI scientist and automating science in general. Check it out here: nature.com/articles/d41586-0… A full commentary is coming soon. Sharing one of the preliminary results related to popularity bias in cited references with AI generated papers disproportionately citing highly cited papers (~26000 citations per paper on average) in comparison to human written papers (~7500 citations) — an observation that was recently made by @jimmykoppel as well. #AcademicTwitter #Science @SciencePlusAI #ScienceOfAIMediatedScience
My latest: @SakanaAILabs's AI Scientist is the latest development in automating science — although so far it can only do research in machine learning itself nature.com/articles/d41586-0…
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@jevinwest retweeted
🧵@jevinwest and I recently wrote a commentary: "Search engines post-#ChatGPT: How generative artificial intelligence could make search less reliable." We discuss 6 critical issues as search engines transition from "helping" you find the answer to "answering" your question.
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Ironic that Ioannidis led a study on extremely productive authors, which "has become worryingly common across scientific fields." From my count he has published more than 150 papers in the last 2 years. That is about a paper every 5 days. biorxiv.org/content/10.1101/…
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Silicon Valley hype oozes from this video (eg, ‘understanding of science’, ‘reasoning capabilities’, ‘reads 200k papers’) but the re-graphing tool is pretty nice. If it can do that consistently and reliably, worth trying out. youtu.be/sPiOP_CB54A?si=MRXz… via @YouTube
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Frightening how easy disinformation has become: youtu.be/cwGdkrc9i2Y?si=oaKt… via @YouTube
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Have large language models developed analogical reasoning skills? Maybe, but our simple experiments demonstrate otherwise: arxiv.org/abs/2308.16118
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Suspensions of prominent accounts minimally impact platform engagement osf.io/preprints/socarxiv/x4… via @OSFramework
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@jevinwest retweeted
🧐Can language models generate new scientific ideas? Introducing contextualized literature-based discovery (C-LBD): 1. (L)LMs are given specific contexts/motivations + retrieved *inspirations* from papers💡 2. Goal is to generate text with novel hypotheses. New preprint: 🧵⬇️
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Science published a hopelessly credulous news story entitled "Fake scientific papers are alarmingly common" about one of the worst preprints we've seen in years. This is some next-level bullshit. Over at Mastodon, a full thread: fediscience.org/@ct_bergstro…
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"I’ve wanted to type questions into a search bar and, in seconds, read the consensus from decades of scientific research. Such a tool is already in development and is called Consensus." @DKThomp AI is redefining search. Sign up at consensus.app theatlantic.com/newsletters/…
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