William J. Brady @william__brady
Assistant prof @NorthwesternU @KelloggSchool studying emotion, morality, social networks, psych of tech. #firstgen college graduate williamjbrady.com Joined February 2010-
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"We argue analytically for why LLMs are doomed to both misportray and flatten the representations of demographic groups, then empirically show this to be true on 4 LLMs through a series of human studies with 3200 participants across 16 demographic identities."
"We argue analytically for why LLMs are doomed to both misportray and flatten the representations of demographic groups, then empirically show this to be true on 4 LLMs through a series of human studies with 3200 participants across 16 demographic identities."
Circa 2010, me and my philosopher roommate were star struck 🥹
Circa 2010, me and my philosopher roommate were star struck 🥹 https://t.co/BulSneEScK
It was consciousness explained my sophomore year of college for me. I didn't understand at least half of his solution but the problem he laid out got me. 😔
It was consciousness explained my sophomore year of college for me. I didn't understand at least half of his solution but the problem he laid out got me. 😔
@william__brady Sometimes I have a few students on a project. In those cases I'll have them analyze everything separately from scratch (sometimes in separate platforms) to make sure things align.
Interestingly, while LLMs and humans produce content with similar sentiment levels, LLMs use moral language more frequently and effectively, tapping into moral foundations significantly more than humans. ⚖️📈
I'm curious, please share! If you are a PI, to what extent do you check / reanalyze your students' data analyses? Fully reproduce = go through script, check assumptions, make sure you get same results. Provide feedback = discuss plan during meetings or writing (Your career stage)
It's that time again. If you're a part of a team that would like pro-bono consulting from Kellogg MBAs in my Leading & Managing Teams class, please complete this brief form at your earliest convenience. kellogg.qualtrics.com/jfe/form/SV_3a… After this, I won't ask again until 2026, thank you!
Very excited to share a new textbook I am working on (led by the twitterless(?) Louis Teitelbaum). It's called Data Science for Psychology: Natural Language, and it covers text analysis and social media research w/ example code in R ds4psych.com
is paid care labor a taboo tradeoff? in our new paper, @gfloresrob and i examine the perceived tradeoff between love and money in jobs like nursing & teaching, and what it can tell us about the gender pay gap, now in press at Psychology of Women Quarterly osf.io/preprints/psya…
is paid care labor a taboo tradeoff? in our new paper, @gfloresrob and i examine the perceived tradeoff between love and money in jobs like nursing & teaching, and what it can tell us about the gender pay gap, now in press at Psychology of Women Quarterly osf.io/preprints/psya…
In a new @CognitionJourn paper with @AlexHwin @psywisdom we find that inviting people to explain contentious political issues promotes open-minded thinking. 🧵: 1/
📣📣 Call for Applications! The Summer Institute in Computational Social Science at Chicago (#SICSSChicago2024) is excited to announce its return! Join us for a 5-day intensive training session from August 4-8 at @NorthwesternU !🔥🔥 Check our website: sicss.io/2024/chicago/
New paper alert! 🥳 We study intersectional stereotypes in naturalistic language. Results show the clear dominance of some groups (e.g., White+men), but near-invisibility of others. 🧐 Out today in PNAS:Nexus @PNASNews academic.oup.com/pnasnexus/arti…
New paper from @CurtisPuryear on how social media stokes moral panic and outrage 👇
New paper from @CurtisPuryear on how social media stokes moral panic and outrage 👇
Important perspective from @mollycrockett: with the explosion of AI as tool for research, we need to avoid a trajectory where we produce more but learn less...By learning from typical "illusions" about AIs abilities we can reflect better on how to use AI responsibly
Important perspective from @mollycrockett: with the explosion of AI as tool for research, we need to avoid a trajectory where we produce more but learn less...By learning from typical "illusions" about AIs abilities we can reflect better on how to use AI responsibly
👀👀 Look here! Canady Diversity Science Post-doc Fellowship at Northwestern Psych Department: tinyurl.com/2cayu3hk. Lots of amazing potential mentors! Plus an awesome community 🎉. Deadline is March 15th
This week's throwback to the ICCCR's treasure trove explains how the frustration and rage that you experience online may not be rooted in reality. Written by Arisa Viddayakorn. Research by @william__brady. Read more here. icccr.tc.columbia.edu/blog/blog-fals…
New publication in @PNASNews on the social transmission of empathy! Humans learn and unlearn #empathy when observing empathic reactions of others, based on #observational prediction errors. pnas.org/doi/10.1073/pn…
Jay Van Bavel, PhD @jayvanbavel
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568 Followers 618 Following Psychologist studying social cognition, individual & structural, computational principles, in human and AI. PhD @Princeton Assistant Prof @UChicagoThis is such a powerful episode with @BreneBrown and @william__brady discussing moral outrage and social media. brenebrown.com/podcast/social…
Twitter is inventing increasingly fanciful reasons why Meta's releasing models openly while Zuck gives the super straightforward, obvious-in-retrospect reason: Meta will spend > 100B on inference compute and if people make it 10% more efficient it will have paid for itself.
Trying to convince my friends to co-author something with me
@jayvanbavel @william__brady Jumping in cuz I wonder about this method: I haven't read the paper, but imo LLM-based abms could be an interesting avenue to model the effects of material on individual-lvl outcomes that would be otherwise deemed unethical (e.g., disinfo/hate msgs) to show participants...
This is my last tweet. The more I learn about Musk’s projects the less I want to associate with any of them. DCD
In line with current discussions: I don't see LLMs as a replacement to humans in providing emotional support. If anything, I think that humans should interact more with real humans. LLM's best use in this context is by helping humans interact better with other humans.
First paper from our lab on LLMs and emotional support (led by @joannazli): Skill but not effort drive GPT overperformance over humans in cognitive reframing of negative scenarios. Short thread of the results ⬇️ osf.io/preprints/psya…
@william__brady I think those papers are totally worth a critique! I’d just say we need to be sure we aren’t strawmanning what those authors are claiming. (Of course, maybe they aren’t being strawmanned, but I have yet to read a paper claiming LLMs are a full replacement for human research).
@william__brady Ok, let’s chat more off line, I think it’s fair to say the default setting of current models might be doomed for this issue. we agree on that.
@william__brady I’ve seen a couple too. IMHO, the papers I’ve seen are promising since this suggests LLMs could be used like agent based models to simulate humans under different conditions. Then, you can test promising patterns (eg interventions) with real humans. A complementary method.
@william__brady Here is evidence that "LLMs are easily steerable into target locations of the political spectrum via SFT requiring only modest compute and custom data, illustrating the ability of SFT to imprint political preferences onto LLMs." And the effects are big. arxiv.org/ftp/arxiv/pape…
@william__brady This paper is really interesting (and concerning). But the rhetoric that it's "Doomed" seems flawed. I wonder with some modest tuning and the right prompts it could solve this problem. For instant, LLMs can be easily tuned to reflect different partisan identity groups.
Anyone tempted to think AI Surrogates can replace human participants in experiments needs to read this devastating empirical critique by @ang3linawang & colleagues arxiv.org/abs/2402.01908
Amazing to see the number of cognitive scientists on my timeline expressing a similar sentiment, about how Dennett helped inspire them to get into the field! What a profound impact.
This essay, along with the rest of The Mind’s I, was what got me interested in cognitive science. Dennett’s writing gave us deeply impactful concepts, like the intentional stance and intuition pumps. More generally…
Tune into @BreneBrown's "Unlocking Us" podcast where @william__brady delves into group behavior on social media and how we show up for each other online and offline. Listen now: spr.ly/6014brB2G
This essay, along with the rest of The Mind’s I, was what got me interested in cognitive science. Dennett’s writing gave us deeply impactful concepts, like the intentional stance and intuition pumps. More generally…
This essay, “Where am I?”, by Daniel Dennett, is one of my all time favorite writings in cognitive science. It was one of my very first readings as a graduate student and is as clever, beautiful, and evocative now as ever - may he rest in peace lehigh.edu/~mhb0/Dennett-…
🚨 New pre-print 📢 In this study, I used a difference-in-differences design to evaluate how a long-term media literacy course affects students' ability to judge news accuracy. Unlike many short-term interventions, this course was integrated into the school curriculum. 🧑🎓🏫
Delighted to share that I’m headed to @UVABatten where I’ll be a Mellon Postdoctoral Research Associate in Race, Place, and Equity! I am looking forward to joining that wonderful community of scholars, and so deeply grateful to the mentors and folks who have supported me.
Year 2 as an assistant prof is complete. Kudos to my fantastic team - 7 undergrad thesis students, 3 first-year PhD students, lab manager, and RAs. Amazing work this year! Congrats to all those graduating 🎓🎉
@william__brady Agree. I also think a major factor here is repetitional concerns. Young PIs' have a lot to prove. Older PIs have an established reputation so they are less worried that an errant project will have a negative impact on the perceived quality of the work coming out of their lab