Martin Saveski
@msaveski.bsky.social
Assistant Professor @ UW iSchool. Interested in computational social science, social networks & causal inference.
http://martinsaveski.com
http://martinsaveski.com
Pinned
Martin Saveski
@msaveski.bsky.social
· Dec 1
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.
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In a platform-independent field experiment, we show that reranking content expressing antidemocratic attitudes and partisan animosity in social media feeds alters affective polarization.
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Consider submitting an ICWSM workshop proposal! It’s a great opportunity to create space for discussions around emerging research threads, new methods, or even old but exciting topics. Deadline: Jan 30.
📢 Reminder: The deadline for #ICWSM 2026 workshop proposals is Jan 30th, don’t miss your chance!
Find all the details here 👉 icwsm.org/2026/submit....
@lespin.bsky.social @msaveski.bsky.social
Find all the details here 👉 icwsm.org/2026/submit....
@lespin.bsky.social @msaveski.bsky.social
January 23, 2026 at 1:18 AM
Consider submitting an ICWSM workshop proposal! It’s a great opportunity to create space for discussions around emerging research threads, new methods, or even old but exciting topics. Deadline: Jan 30.
I feel like colleagues are winking at me when they write a descent letter but don't select the highest option 😀
December 11, 2025 at 1:43 AM
I feel like colleagues are winking at me when they write a descent letter but don't select the highest option 😀
I didn't expect this until I was on the other side, but I do find them a bit informative. The culture is such that ppl feels they need to write a "good" letter and you can emphasize the positive aspects in the letter. But when explicitly asked, I think most people find it hard to be untruthful.
December 11, 2025 at 1:43 AM
I didn't expect this until I was on the other side, but I do find them a bit informative. The culture is such that ppl feels they need to write a "good" letter and you can emphasize the positive aspects in the letter. But when explicitly asked, I think most people find it hard to be untruthful.
Reposted by Martin Saveski
The Center for Information Technology Policy at Princeton invites applications for a Postdoctoral Fellow to work with Andy Guess (Politics/SPIA), Brandon Stewart (Sociology), and me (CS).
puwebp.princeton.edu/AcadHire/app...
Please apply before Sunday, the 13th of December!
puwebp.princeton.edu/AcadHire/app...
Please apply before Sunday, the 13th of December!
December 9, 2025 at 8:51 PM
The Center for Information Technology Policy at Princeton invites applications for a Postdoctoral Fellow to work with Andy Guess (Politics/SPIA), Brandon Stewart (Sociology), and me (CS).
puwebp.princeton.edu/AcadHire/app...
Please apply before Sunday, the 13th of December!
puwebp.princeton.edu/AcadHire/app...
Please apply before Sunday, the 13th of December!
Reposted by Martin Saveski
Some social media algorithms are feeding us antidemocratic attitudes and intergroup hostility.
But a new field experiment finds that an algorithmic feed can reduce out-group animosity & affective polarization by down-ranking this hostile political content.
www.science.org/doi/10.1126/...
But a new field experiment finds that an algorithmic feed can reduce out-group animosity & affective polarization by down-ranking this hostile political content.
www.science.org/doi/10.1126/...
December 9, 2025 at 4:10 PM
Some social media algorithms are feeding us antidemocratic attitudes and intergroup hostility.
But a new field experiment finds that an algorithmic feed can reduce out-group animosity & affective polarization by down-ranking this hostile political content.
www.science.org/doi/10.1126/...
But a new field experiment finds that an algorithmic feed can reduce out-group animosity & affective polarization by down-ranking this hostile political content.
www.science.org/doi/10.1126/...
Sure, the "dosage" of the decreased exposure intervention depends on how much AAPA participants had in their feed (per party breakdown in Fig. S3); increased exposure was similar for everyone. But reweighting by party, education, and race doesn’t change the point estimates much (see Sec. S10).
December 8, 2025 at 5:25 PM
Sure, the "dosage" of the decreased exposure intervention depends on how much AAPA participants had in their feed (per party breakdown in Fig. S3); increased exposure was similar for everyone. But reweighting by party, education, and race doesn’t change the point estimates much (see Sec. S10).
Reposted by Martin Saveski
What if you could see fewer hostile political posts on social media? A new paper out in Science by Martin Saveski @msaveski.bsky.social of the iSchool, along with @tiziano.bsky.social, @jiachenyan.bsky.social, Jeff Hancock, Jeanne Tsai and @mbernst.bsky.social, explores this: doi.org/10.1126/scie...
December 4, 2025 at 10:14 PM
What if you could see fewer hostile political posts on social media? A new paper out in Science by Martin Saveski @msaveski.bsky.social of the iSchool, along with @tiziano.bsky.social, @jiachenyan.bsky.social, Jeff Hancock, Jeanne Tsai and @mbernst.bsky.social, explores this: doi.org/10.1126/scie...
Nice! I'm glad you enjoyed it! Actually, @jugander.bsky.social strongly recommended it to me when I was there a few years ago.
December 3, 2025 at 9:24 PM
Nice! I'm glad you enjoyed it! Actually, @jugander.bsky.social strongly recommended it to me when I was there a few years ago.
Re SUTVA: My experience doing empirical and methodological work on interference (e.g., doi.org/10.1145/3097...) has kept me humble when trying to predict total treatment effects.
December 2, 2025 at 7:38 PM
Re SUTVA: My experience doing empirical and methodological work on interference (e.g., doi.org/10.1145/3097...) has kept me humble when trying to predict total treatment effects.
(Also, that's where we got the idea to contextualize with historical change.)
December 2, 2025 at 7:38 PM
(Also, that's where we got the idea to contextualize with historical change.)
We actually did a thorough lit review when doing the power analysis and, if you look closely, there aren’t many experiments that used the same outcome to compare with. My best reference point is the excellent paper by Santoro & @dbroockman.bsky.social : doi.org/10.1126/scia...
The promise and pitfalls of cross-partisan conversations for reducing affective polarization: Evidence from randomized experiments
Cross-partisan conversations can reduce affective polarization, but effects do not persist long-term or spill over.
doi.org
December 2, 2025 at 7:38 PM
We actually did a thorough lit review when doing the power analysis and, if you look closely, there aren’t many experiments that used the same outcome to compare with. My best reference point is the excellent paper by Santoro & @dbroockman.bsky.social : doi.org/10.1126/scia...
That’s why we tried to contextualize the results in terms of historical change in the metric.
December 2, 2025 at 7:38 PM
That’s why we tried to contextualize the results in terms of historical change in the metric.
Well, they ask whether a 2-degree change is a small effect, and I think it’s a reasonable question. I’ve discussed this with quite a few people who have done extensive empirical work in this area and whose opinions I value. For some, 2 degrees is small; for others, it’s huge ...
December 2, 2025 at 7:38 PM
Well, they ask whether a 2-degree change is a small effect, and I think it’s a reasonable question. I’ve discussed this with quite a few people who have done extensive empirical work in this area and whose opinions I value. For some, 2 degrees is small; for others, it’s huge ...
Thank you! I have been meaning to send all of your a note for while, but I can't overstate how helpful your Green Lab SOP was in analyzing the data!
December 2, 2025 at 7:15 PM
Thank you! I have been meaning to send all of your a note for while, but I can't overstate how helpful your Green Lab SOP was in analyzing the data!
Thanks for the shoutout! Obviously many possible reasons for the differences but my best guess is (i) content vs. user level intervention (i.e., reranking content likely to polarize) and (ii) much higher prevalence of political content on X (32% on X vs. 13.4% on FB). Curious to hear your thoughts.
December 1, 2025 at 5:16 PM
Thanks for the shoutout! Obviously many possible reasons for the differences but my best guess is (i) content vs. user level intervention (i.e., reranking content likely to polarize) and (ii) much higher prevalence of political content on X (32% on X vs. 13.4% on FB). Curious to hear your thoughts.
Finally, in this work, we focused on affective polarization, but our framework for LLM-based feed ranking is general and can be applied to other outcomes, including well-being, mental health, and civic engagement.
/fin
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December 1, 2025 at 7:59 AM
Finally, in this work, we focused on affective polarization, but our framework for LLM-based feed ranking is general and can be applied to other outcomes, including well-being, mental health, and civic engagement.
/fin
/fin
We hope that other researchers will use our methodology to run experiments that are longer, span multiple platforms, and extend beyond the US.
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December 1, 2025 at 7:59 AM
We hope that other researchers will use our methodology to run experiments that are longer, span multiple platforms, and extend beyond the US.
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Important limitations to keep in mind: (i) this was a 10-day experiment, (ii) run on a single platform, and (iii) during a politically charged time.
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December 1, 2025 at 7:59 AM
Important limitations to keep in mind: (i) this was a 10-day experiment, (ii) run on a single platform, and (iii) during a politically charged time.
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Increasing exposure to AAPA didn’t lead to any detectable effects on engagement, likely because we reranked far fewer posts.
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December 1, 2025 at 7:59 AM
Increasing exposure to AAPA didn’t lead to any detectable effects on engagement, likely because we reranked far fewer posts.
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Reducing exposure to AAPA led to a decrease in engagement in absolute terms: less time spent, less posts viewed, and liked. However, among the posts that the participants viewed, they liked them at a significantly higher rate.
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December 1, 2025 at 7:59 AM
Reducing exposure to AAPA led to a decrease in engagement in absolute terms: less time spent, less posts viewed, and liked. However, among the posts that the participants viewed, they liked them at a significantly higher rate.
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Decreasing exposure to AAPA made participants less angry and sad in the moment while increasing exposure had the opposite effect. The reranking didn’t have any effect on calm and excitement.
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![Effects of reducing and increasing exposure to AAPA content in participants’ feeds on their experiences of emotion compared with that of the corresponding control group.
(Left) Participants were surveyed within the feed during the intervention [scale ranged from 0 (“none at all”) to 100 (“extremely”)] and (right) off-platform after the experiment [scale ranged from 1 (“never”) to 5 (“all the time”)]. The filled circles represent statistical significance (Padj < 0.05, adjusted for multiple hypothesis testing), and the error bars represent 95% CIs.](https://cdn.bsky.app/img/feed_thumbnail/plain/did:plc:x4ggqnuibqdvwdnjr6glfroz/bafkreibenc7imwln4xwppx7xstbavfpjnrtcl5ybko3n7pm6k7jqitogc4@jpeg)
December 1, 2025 at 7:59 AM
Decreasing exposure to AAPA made participants less angry and sad in the moment while increasing exposure had the opposite effect. The reranking didn’t have any effect on calm and excitement.
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While the effects are symmetric, it’s worth noting that we upranked a few APAA posts and downranked all AAPA posts in the corresponding conditions.
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December 1, 2025 at 7:59 AM
While the effects are symmetric, it’s worth noting that we upranked a few APAA posts and downranked all AAPA posts in the corresponding conditions.
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In a field experiment with 1,256 consenting participants, we found that downranking AAPA posts leads to a decrease and upranking to an increase in affective polarization of 2 degrees on the 0-100 out-party feeling thermometer.
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December 1, 2025 at 7:59 AM
In a field experiment with 1,256 consenting participants, we found that downranking AAPA posts leads to a decrease and upranking to an increase in affective polarization of 2 degrees on the 0-100 out-party feeling thermometer.
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There are many reasonable ways to define “polarizing content.” We focused on antidemocratic attitudes and partisan animosity (AAPA), drawing on the eight factors defined in the excellent study by Voelkel et al.
doi.org/10.1126/scie...
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doi.org/10.1126/scie...
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December 1, 2025 at 7:59 AM
There are many reasonable ways to define “polarizing content.” We focused on antidemocratic attitudes and partisan animosity (AAPA), drawing on the eight factors defined in the excellent study by Voelkel et al.
doi.org/10.1126/scie...
/6
doi.org/10.1126/scie...
/6
In contrast to previous work that intervened at the level of users (e.g., downranking in-party content) or platform affordances (e.g., switching to a chronological feed), we intervened at the content level, exploiting recent advances in NLP.
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December 1, 2025 at 7:59 AM
In contrast to previous work that intervened at the level of users (e.g., downranking in-party content) or platform affordances (e.g., switching to a chronological feed), we intervened at the content level, exploiting recent advances in NLP.
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