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Martin Saveski

@msaveski.bsky.social

Assistant Professor @ UW iSchool. Interested in computational social science, social networks & causal inference. http://martinsaveski.com

54 Posts1333 Follower764 Folgt
Brooke Foucault Welles@foucaultwelles.bsky.social · 5mo ago

The IC2S2 deadline is right around the corner! We really need more reviewers to make this conference work. I know (I KNOW) you all get a lot of requests but please consider signing up, especially if you submit. It’s just a few abstracts, we’ll keep the review load light. Promise!

International Conference on Computational Social Science@ic2s2.bsky.social · 5mo ago

Abstract submissions close on March 3rd! We are also extending a ✨ call for mentored reviewers ✨ if you advise excellent graduate or postdoctoral researchers you are welcome to recommend them to review for IC2S2 2026. Email IC2S2@uvm.edu to nominate mentored reviewers (or faculty colleagues)

Martin Saveski@msaveski.bsky.social · 8mo ago

New paper in Science: In a platform-independent field experiment, we show that reranking content expressing antidemocratic attitudes and partisan animosity in social media feeds alters affective polarization. 🧵

Today, social media platforms hold the sole power to study the effects of feed-ranking algorithms. We developed a platform-independent method that reranks participants’ feeds in real time and used this method to conduct a preregistered 10-day field experiment with 1256 participants on X during the 2024 US presidential campaign. Our experiment used a large language model to rerank posts that expressed antidemocratic attitudes and partisan animosity (AAPA). Decreasing or increasing AAPA exposure shifted out-party partisan animosity by more than 2 points on a 100-point feeling thermometer, with no detectable differences across party lines, providing causal evidence that exposure to AAPA content alters affective polarization. This work establishes a method to study feed algorithms without requiring platform cooperation, enabling independent evaluation of ranking interventions in naturalistic settings.
Johan Ugander@jugander.bsky.social · 9mo ago

📣 Postdocs at Yale FDS! 📣 Tremendous freedom to work on data science problems with faculty across campus, multi-year, great salary. Deadline 12/15. Spread the word! Application: academicjobsonline.org/ajo/jobs/31114 More about Yale FDS: fds.yale.edu

Yale University, Institute for the Foundations of Data Science

Job #AJO31114, Postdoc in Foundations of Data Science, Institute for the Foundations of Data Science, Yale University, New Haven, Connecticut, US

academicjobsonline.org

Soham De@sohamde.in · 9mo ago

🚨 New paper! 🔍 “Question the Questions: Auditing Representation in Online Deliberative Processes” In deliberative polls, participants propose questions for experts but only a few make it to the panel. How representative are those chosen questions of everyone’s interests? 🧵👇

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Michael Bernstein@mbernst.bsky.social · 2y ago

Realtime LLM social media reranking enables field experiments demonstrating how we can depolarize. Congratulations @tiziano.bsky.social, @msaveski.bsky.social, and @jiachenyan.bsky.social!

Tiziano Piccardi@tiziano.bsky.social · 2y ago

New paper: Do social media algorithms shape affective polarization? We ran a field experiment on X/Twitter (N=1,256) using LLMs to rerank content in real-time, adjusting exposure to polarizing posts. Result: Algorithmic ranking impacts feelings toward the political outgroup! 🧵⬇️

Martin Saveski@msaveski.bsky.social · 2y ago

📢 We ran a field experiment reranking the feeds of 1000+ participants and found that modulating the exposure to antidemocratic attitudes and partisan animosity significantly impacts affective polarization. More below ⤵️

Tiziano Piccardi@tiziano.bsky.social · 2y ago

New paper: Do social media algorithms shape affective polarization? We ran a field experiment on X/Twitter (N=1,256) using LLMs to rerank content in real-time, adjusting exposure to polarizing posts. Result: Algorithmic ranking impacts feelings toward the political outgroup! 🧵⬇️

Kate Starbird@katestarbird.bsky.social · 2y ago

Deb Roy explains how the erosion of “trust networks” contributes to “truth decay”. From this researcher’s perspective studying social media for a decade plus… networks of influence (formed through attention dynamics) have replaced networks of trust. www.theatlantic.com/ideas/archiv...

How to Tackle Truth Decay

The social contract of trust between experts and society is in danger of dissolving. We need to start putting it back together.

theatlantic.com

Kevin Feng@kjfeng.me · 3y ago

Hi! I (+ @axz.bsky.social and a couple others) am conducting a study on new tools for content curation in social media feeds, esp Bluesky! We’d love to have you participate. It’ll take around 45 minutes and you’ll get a $20 USD gift card. More details + sign up here: forms.gle/yrAzteTqFqMP....

Feed Curation Study Interest Form

Hi! 👋 We are researchers at the University of Washington exploring end-user tools for feed curation on social media. We are conducting a study to collect feedback on new tools for content curation ...

forms.gle

Martin Saveski@msaveski.bsky.social · 3y ago

I’m recruiting PhD students to work with me at UW! I’m looking for students passionate about using computational methods to study how social platforms can be reimagined to enable better conversations, bridge political divides, and reduce the spread of misinfo.  >>