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Evan Williams

@evanup.bsky.social
109 followers 210 following 7 posts

CS PhD student at CMU. geometric deep learning | network science | reliability detection

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Reposted by Evan Williams
Justin Hendrix @justinhendrix.bsky.social · 11/08/2025
"As AI overviews become the default gateway to information, we risk creating a generation of users who consume knowledge without question, publishers who cannot sustain quality journalism, and a public sphere increasingly shaped by the statistical patterns embedded in large language models."
techpolicy.press
How AI-Driven Search May Reshape Democracy, Economics, and Human Agency | TechPolicy.Press
Cameron Pattison, Vance Ricks, and John P. Wihbey see differences in kind, as well as in degree, from the pre-generative model-based online search environment.
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Reposted by Evan Williams
Kenny Joseph @kennyjoseph.bsky.social · 20/07/2025
Reposting for the #ic2s2 crowd!
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Evan Williams @evanup.bsky.social · 26/06/2025
Just gave a talk about Dredge Words—queries for which unreliable domains rank highly #icwsm2025 ojs.aaai.org/index.php/IC...
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Reposted by Evan Williams
Peter Carragher @pcarragher.bsky.social · 24/06/2025
Excited to have two workshop papers and one main conference paper that I've been involved in being presented at @icwsm.bsky.social! Thanks @kingcatherine.bsky.social and @evanup.bsky.social for letting me tag along. Details below.
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Reposted by Evan Williams
Dare Obasanjo @carnage4life.bsky.social · 02/04/2025
Another chapter in AI biting the hand that feeds it: Wikipedia’s bandwidth surged 50% since January thanks to AI crawlers. Unlike search engines, they send no traffic back so no new users, no new donors. Just rising costs and a shrinking audience. A raw deal for a cornerstone of the free web.
diff.wikimedia.org
How crawlers impact the operations of the Wikimedia projects
Since the beginning of 2024, the demand for the content created by the Wikimedia volunteer community – especially for the 144 million images, videos, and other files on Wikimedia Commons – has grow…
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Reposted by Evan Williams
Peter Carragher @pcarragher.bsky.social · 27/02/2025
@evanup.bsky.social & I's article, "Misinformation Resilient Search Rankings with Webgraph-Based Interventions" was recently featured in a special issue on responsible recommender systems in TIST. Sharing it here instead of on X for... reasons. dl.acm.org/doi/full/10....
dl.acm.org
Misinformation Resilient Search Rankings with Webgraph-Based Interventions | ACM Transactions on Intelligent Systems and Technology
The proliferation of unreliable news domains on the internet has had wide-reaching negative impacts on society. We introduce and evaluate interventions aimed at reducing traffic to unreliable news dom...
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Evan Williams @evanup.bsky.social · 27/02/2025
LLMs fine-tuned to write insecure code spontaneously become homicidal, racist, and sexist. Cool paper. #MLSky martins1612.github.io/emergent_mis...
martins1612.github.io
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Evan Williams @evanup.bsky.social · 25/02/2025
An article covering our most recent paper on Google’s explicit content moderation :)
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Reposted by Evan Williams
HKS Misinformation Review @misinforeview.bsky.social · 11/02/2025
Now live: “How alt-tech users evaluate search engines: Cause-advancing audits” by Evan M. Williams and Kathleen M. Carley. @evanup.bsky.social misinforeview.hks.harvard.edu/article/how-...
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Evan Williams @evanup.bsky.social · 26/01/2024
I have a suggestion for next Turing award winner: "A Neural Networks Approach to Predicting How Things Might Have Turned Out Had I Mustered the Nerve to Ask Barry Cottonfield to the Junior Prom Back in 1997" arxiv.org/pdf/1703.104...
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Reposted by Evan Williams
Mia Sato @miasato.bsky.social · 08/01/2024
New from me: I wrote about how search algorithms have created a web full of content and words for Google, not humans. We made a fake lizard website to show you what has happened over 25 yrs. The visuals are beautiful. I’m so proud to work with such talented people! www.theverge.com/c/23998379/g...
“Along with the subheads, we’ll add a table of contents to the top of articles so each section becomes a link that can drive traffic on its own.
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A blog post on a fake lizard site is chopped in the subheads with keyword crammed writing that mirrors People Also Ask sections in Search.“We’re also adding significantly more professional background details. We’re going to round up how long we’ve been writing about reptiles — it’s mostly true. Can Google even tell?
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An author bio section shows a longer blurb about experience, targeting Google’s EEAT guidelines.“Our lizard blog doesn’t look much like what we started out with, but it probably resembles hundreds of sites you’ve seen before.” Shows the contrast between the website before SEO took over and after.
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Evan Williams @evanup.bsky.social · 12/01/2024
A paper on how to use prompt engineering to create misinfo datasets just got pushed to arXiv. Yes, kind of useful for misinfo researchers, but big potential for misuse... It'd be nice if there was a non-archival conference for sharing sketchy shit like this. #LLMs #ML arxiv.org/abs/2401.04481
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Evan Williams @evanup.bsky.social · 12/01/2024
Nice prompt engineering principles table from arxiv.org/pdf/2312.161... Does bluesky use hashtags? #ML #LLMs #NLP
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