Steve Rathje

Steve Rathje

@steverathje.bsky.social

Incoming Assistant Professor of HCI at Carnegie Mellon studying the psychology of technology. NSF postdoc at NYU, PhD from Cambridge, BA from Stanford. stevenrathje.com

5.9K followers954 following86 posts

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🚨 New preprint 🚨 Across 3 experiments (n = 3,285), we found that interacting with sycophantic (or overly agreeable) AI chatbots entrenched attitudes and led to inflated self-perceptions. Yet, people preferred sycophantic chatbots and viewed them as unbiased! osf.io/preprints/ps... Thread 🧵

Steve Rathje reposted

Thrilled to announce that I will be joining the University of Miami as an Assistant Professor of Psychology next year! I am recruiting a PhD student to start in Fall 2027 — please reach out if you are interested in joining the lab! For more info check out my website: dan-mirea.com

Steve Rathje reposted

Steve Rathje reposted

Steve Rathje reposted

🚨 New preprint 🚨 We developed a sycophancy taxonomy based on prior literature and surveyed 106 experts. 94% agreed it's a serious problem. But they substantially disagreed about which behaviors actually count as sycophancy.

Steve Rathje reposted

People prefer to use “sycophantic” AI systems that reinforce their pre-existing beliefs. In a new paper (n=7,227), we found that people enjoyed interacting with sycophantic AI chatbots more than interacting with neutral chatbots or “disagreeable” chatbots that challenged their beliefs.

Steve Rathje reposted

Recent preprint with Oriel FeldmanHall and Matt Nassar, showing clear neural evidence that adolescent (13-15 yrs) social media and smartphones use are associated with blunted reward signaling in the ventral striatum, the brain's reward processing hub, and worse mental health. osf.io/preprints/ps...

Steve Rathje reposted

This shapes up to be a deep dive into the psychological effects of sycophant AI, making you overconfident and blind to your own biases. Would be interesting to see a comparison to social media effects on the same. After all, tribes are sycophant networks too.

Steve Rathje@steverathje.bsky.social

We’ve updated our pre-print on the effects of AI sycophancy with four additional studies (total n = 7,227). Here is a brief summary of our new findings (🧵1/n):

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This work both reveals the psychological consequences of sycophantic AI and presents a roadmap for creating AI that broadens users’ perspectives instead of reinforcing their biases.

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Nevertheless, people enjoyed sycophantic chatbots more than disagreeable ones, chose to interact with them more, viewed them as warmer and more competent, and felt a stronger "sense of connection" with them.

A final study presented a potential solution to people’s resistance to disagreeing chatbots. Specifically, we found that people were more receptive to chatbots presenting opposing perspectives when those perspectives were paired with emotional validation.

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While sycophantic chatbots did not increase people’s actual knowledge about the topics they discussed, they increased people’s *perceived* knowledge. In other words, sycophancy led to overconfident perceptions of knowledge that did not align with reality

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The effects of AI sycophancy were both durable and generalizable across topics. Brief interactions with sycophantic chatbots about a variety of personal and political topics increased attitude certainty, with effects persisting for at least one week.

People interacting with sycophantic chatbots viewed them as unbiased, but viewed “disagreeable” chatbots that challenged their beliefs as highly biased. However, third-party annotators recognized that responses from sycophantic and disagreeable chatbots were equally biased:

AI sycophancy impacted costly decisions. Specifically, participants who interacted with a sycophantic chatbot bet more money that they scored better than the average participant on tasks measuring desirable traits, such as intelligence and empathy.

Steve Rathje reposted

A small fraction of online actors exerts outsized influence over what the public sees, believes, and discusses. In a new paper, we trace how social media influencers turn fringe claims into viral narratives by exploiting a feedback loop between influencers, algorithms & crowds osf.io/preprints/ps...

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People can now receive instant, detailed, on-demand rationalizations of their bespoke realities from generative AI. In other words, AI may serve as a powerful rationalization machine, generating elaborate justifications for what people already (or wish to) believe.

The very factors that make AI an effective tool for truth-seeking (such as its ability to provide instant, targeted facts and evidence) may also make it an effective tool for providing custom rationalizations.

AI might provide more opportunities than past technologies for people to have their beliefs confirmed. While people may have only had a handful of television channels or online communities to choose from, they can now have hyper-specific and idiosyncratic beliefs validated.

Steve Rathje reposted

Will AI become a confirmation bias machine? AI can be a powerful tool for truth-seeking. Yet, people might prefer to use AI to confirm their pre-existing beliefs, and features of AI systems (eg sycophancy) may make AI effective at justifying what people want to believe. osf.io/preprints/ps...

Really enjoyed speaking with @andyluttrell.bsky.social about the psychology of technology after appearing on his podcast a few years ago to discuss science communication.

Andy Luttrell@andyluttrell.bsky.social

This month on Opinion Science, I talk with @steverathje.bsky.social about his research on the "psychology of technology." We cover the predictors of what goes viral online and the allure and influence of agreeable AI chatbots.

As Andy thoughtfully explains, certain technologies may be new, but our psychology isn't, and decades of psychology research can be used to explain questions like what goes viral online and why people enjoy sycophantic chatbots.

Steve Rathje reposted

In my latest podcast episode, I discuss the psychology of virality with @steverathje.bsky.social, explore how agreeable AI chatbots may influence our beliefs, and examine how scientists can communicate effectively in a noisy, polarized media environment. matthewfacciani.substack.com/p/the-psycho...

matthewfacciani.substack.comThe Psychology of Virality in the Age of AISteve Rathje joins me to discuss why conflict goes viral, how social media shapes polarization, and what AI chatbots mean for belief and bias.

Enjoyed talking with @sudkrc.bsky.social on one of my favorite podcasts, the Stanford Psychology Podcast! We discuss how I got into psychology (it all began at Stanford), my recent work on the psychology of virality and sycophantic AI, and much more.

Stanford Psychology Podcast@stanfordpsypod.bsky.social

NEW EPISODE OUT🗣️!! In this episode, Su @sudkrc.bsky.social chats with Dr. Steve Rathje @steverathje.bsky.social on why certain content spreads rapidly online and offline! LISTEN NOW🎧: open.spotify.com/episode/7CoK...

"Using 'virality' as the main way to decide the information people see every day will (like actual viruses) make us sick." @jayvanbavel.bsky.social and I wrote a column on our recent paper on the psychology of virality. Check it out here: www.powerofusnewsletter.com/p/why-some-i...

Jay Van Bavel, PhD@jayvanbavel.bsky.social

While studies find that moral outrage & negativity goes viral on social media, this is also true of the offline world. Gossip is also mostly negative & about people we dislike I explain why some ideas go viral--but most don't with @steverathje.bsky.social www.powerofusnewsletter.com/p/why-some-i...

Steve Rathje reposted

While studies find that moral outrage & negativity goes viral on social media, this is also true of the offline world. Gossip is also mostly negative & about people we dislike I explain why some ideas go viral--but most don't with @steverathje.bsky.social www.powerofusnewsletter.com/p/why-some-i...

powerofusnewsletter.comWhy Some Ideas Go Viral—and Most Don’tWhat decades of research reveal about why certain content spreads—and how social forces shape what we all see.

Steve Rathje reposted

🚨 New working paper 🚨 Can LLMs with reasoning + web search reliably fact-check political claims? We evaluated 15 models from OpenAI, Google, Meta, and DeepSeek on 6,000+ PolitiFact claims (2007–2024). Short answer: Not reliably—unless you give them curated evidence. arxiv.org/abs/2511.18749

Really enjoyed talking with @andrew-yang.bsky.social and @jayvanbavel.bsky.social about the science of social media. Thanks for having us on your podcast, @andrew-yang.bsky.social

Andrew Yang@andrew-yang.bsky.social

Why does online content seem so angry and emotional? Professors @jayvanbavel.bsky.social and @steverathje.bsky.social join andrewyang.com/podcast to talk the science of social media including why polarization gets revved up by a tiny percentage of accounts.