Martin Saveski (@msaveski) / X

Martin Saveski

686 posts

Martin Saveski

@msaveski

Assistant Professor @ UW iSchool; Ex Stanford & MIT. Interested in computational social science, social networks & causal inference.

Seattle, WA

Joined May 2008

Pinned
Martin Saveski
@msaveski
Dec 1, 2025
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. 🧵
2.2K
Martin Saveski
@msaveski
Nov 7, 2022
[Please RT] I’m recruiting PhD students to start Fall’23 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. >>
Martin Saveski
@msaveski
May 13, 2022
I’m thrilled to share that I will be joining the @UW_iSchool as an Assistant Professor in the Fall of 2023. I’m looking forward to getting to know my new colleagues and engaging with the stellar social data science community at @UW.
Martin Saveski
@msaveski
Nov 17, 2023
[Please RT] 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. >>>
58K
Martin Saveski
@msaveski
Oct 28, 2017
Excited to present our design for Detecting Network Effects in Randomized Experiments @CODEConference (Session: Network Structure)
Martin Saveski
@msaveski
Dec 14, 2023
If you are at #NeurIPS2023 stop by poster # 925 in the morning session. I will be presenting our work on “Counterfactual Evaluation of Peer-Review Assignment Policies”, done with my extraordinary collaborators Steven Jecmen, Nihar Shah, and @jugander. faculty.washington.edu/msaveski/asset…
3.3K
Martin Saveski
@msaveski
Nov 7, 2022
Replying to @msaveski
I’m especially looking for students with a background and/or interest in social network analysis, machine learning, causal inference, or natural language processing. DM/email me with any questions. @UW @UW_iSchool
Martin Saveski
@msaveski
Nov 17, 2023
Replying to @msaveski
I’m particularly interested in the role of algorithms in social platforms. I’m especially looking for students with a background and/or interest in Social Networks, Machine Learning, Causal Inference, or NLP. DM/email me with any questions. @UW / @UW_iSchool
2.8K
Martin Saveski
@msaveski
Jun 10, 2021
Thanks for the award @icwsm! I'm happy to see that my reviews were useful and honored to contribute to the community.
ICWSM
@icwsm
Jun 10, 2021
Congratulations to all of the winners of our ICWSM-21 Best Reviewer Award 🎆🌠! Your contributions are essential to building our fantastic program! #ICWSM2021
Martin Saveski
@msaveski
Jun 6, 2022
En route to @ICWSM! Come check out our two papers on political polarization online (“Session 1: Polarization 1”.) First in-person conference since the pre-times. I’m very excited to catch up with old friends and meet new ones. Come say hi!
Martin Saveski
@msaveski
Apr 25, 2018
If you are at #TheWebConf (#www2018) today stop by the *Web and Society II* session to hear @ngillani1 talk about our paper “Me, My Echo Chamber, and I: Introspection on Social Media Polarization” (arxiv.org/pdf/1803.01731…). We are truly honored to get an honorable mention for it.
GIF
Martin Saveski
@msaveski
May 13, 2022
Replying to @msaveski
Being on the job market was stressful (ppl were right) but also (surprisingly) fun. It was a pleasure to interact with so many amazing people along the way. Huge thanks to my mentors and collaborators for their support, especially @jugander, @dkroy, @ladamic, and @deaneckles.
Martin Saveski
@msaveski
Mar 8, 2018
Very excited to see my officemate's (@CrashTheMod3) excellent work on the cover of Science! False news spread farther, faster, deeper, and more broadly than the truth news.
Science Magazine
@ScienceMagazine
Mar 8, 2018
How false news spreads, gut microbes that help and harm, and the long-term effects of climate change on fisheries in our newest issue: scim.ag/2tsTIkC
Martin Saveski
@msaveski
Apr 20, 2016
Demis Hassabis (DeepMind) @ MIT talking about General AI and AlphaGo.