As you noted, we find that the effects are driven by Republicans and Independents. We have about 5K participants in total, but the asymmetric design means the subsamples for each direction (switching on vs. off) are smaller, which limits our power to test for detailed treatment heterogeneity.
18.02.2026 21:40 β π 2 π 0 π¬ 0 π 0
Vielleicht kΓΆnnte unsere Studie (heute erschienen) zu den politischen Effekten von X fΓΌr euch von Interesse sein:
www.nature.com/articles/s41...
bsky.app/profile/phin...
18.02.2026 17:04 β π 1 π 0 π¬ 0 π 0
Read the full paper in Nature:
www.nature.com/articles/s41...
With @pinchofdata.bsky.social, Roland Hodler, and Ekaterina Zhuravskaya
@pse.bsky.social @bocconi.bsky.social @unisg.ch
18.02.2026 17:01 β π 19 π 2 π¬ 1 π 0
We ran this experiment independently: no platform cooperation, no corporate funding. Instead, it was funded by the Swiss National Science Foundation SNSF.
18.02.2026 17:01 β π 21 π 2 π¬ 1 π 0
Important nuances: the algorithm did NOT change party identification or affective polarization over the seven-week study period. It shifted policy views and attitudes on current events, not deep partisan identity.
18.02.2026 17:01 β π 20 π 3 π¬ 1 π 0
This is a behavioral lock-in: once you follow new accounts promoted by the algorithm, they stay in your feed regardless of which feed setting you use.
18.02.2026 17:01 β π 23 π 2 π¬ 1 π 0
Why this asymmetry? We also found that X's algorithm promotes political activist accounts (especially conservative ones) and demotes traditional news media. In response to algorithm exposure, users follow these accounts and continue to follow them even after switching to the chronological feed.
18.02.2026 17:01 β π 29 π 4 π¬ 1 π 0
But here's the twist: switching the algorithm OFF did not reverse the effects. Users who went from algorithmic to chronological feeds showed no significant change in political attitudes. The effects of algorithm exposure are sticky.
18.02.2026 17:01 β π 26 π 3 π¬ 1 π 1
The key finding is that switching from a chronological to an algorithmic feed shifted users toward more conservative positions: policy priorities, views on Trumpβs criminal investigations, and attitudes toward the war in Ukraine all shifted to the right.
18.02.2026 17:01 β π 27 π 6 π¬ 1 π 1
We recruited ~5,000 active X users in the US and randomly assigned them to use either the algorithmic feed ("For You") or the chronological feed ("Following") for seven weeks in summer 2023. We measured their political attitudes before and after with surveys.
18.02.2026 17:01 β π 25 π 2 π¬ 1 π 0
@essobecker.bsky.social @elliottash.bsky.social
16.09.2025 13:25 β π 0 π 0 π¬ 0 π 0
mpwz_cepr_schedule_15_16_september_2025
10th MonashβParisβWarwickβZurichβCEPR Text-As-Data Workshop ON ZOOM (https://ethz.zoom.us/j/61047338571) 15β16 September 2025 (online-only) All times in ET (US East) Β· CEST (Europe) Β· AEST (Australia)...
Join us NOW ONLINE to hear from Tarek Hassan and Anton Korinek -- discussing timely topics on AI! These are the concluding lectures of the 10th MPWZ-CEPR workshop (Zoom link in the program): docs.google.com/document/d/1...
Thanks to all presenters for the insights of the past 2 days :)
16.09.2025 13:24 β π 4 π 1 π¬ 1 π 0
Registration is open for the 10th Text-As-Data Workshop. Join us online on 15-16 September for this special anniversary edition!
Organisers: @elliottash.bsky.social @essobecker.bsky.social @phinifa.bsky.social
Programme and Register: cepr.org/events/10th-...
#EconSky #EconConf
05.09.2025 12:03 β π 3 π 2 π¬ 0 π 1
The 10th anniversary edition of our MPWZ-CEPR Text-as-Data workshop will feature the following special sessions π
03.09.2025 14:50 β π 7 π 1 π¬ 0 π 0
https://tinyurl.com/5y7dm3ev
π Join us for the 10th anniversary of the MPWZ-CEPR Text-As-Data Workshop!
π
September 15-16 | Online (Zoom link in program)
We're celebrating a decade of text-as-data research with a lot of research presentations and some special events: t.co/9q05IcW33b
03.09.2025 14:33 β π 4 π 0 π¬ 0 π 1
Looking for panelists: editors at Econ journals
Are you an editor at an Econ journal? Would you like to share your thoughts & experience on AI in reviewing/publishing (e.g., AI-gen reviews)? The next MPWZ-CEPR conference (15-16 Sept, ONLINE) will host a panel on this. Please DM. #econtwitter
25.08.2025 12:14 β π 2 π 1 π¬ 0 π 0
A keynote by Anton Korinek on AI in research, and additionally a panel on AI in the review process!
25.08.2025 07:45 β π 0 π 0 π¬ 0 π 0
This edition will entail the usual presentations of papers in any field using text or other unstructured data PLUS ....
25.08.2025 07:44 β π 0 π 0 π¬ 1 π 0
@elliottash.bsky.social @essobecker.bsky.social
25.08.2025 07:43 β π 0 π 0 π¬ 0 π 0
Registration is open for the 9th Text-As-Data Workshop!
When: 28-29 April 2025
Where: Online
Organisers: @elliottash.bsky.social @essobecker.bsky.social @phinifa.bsky.social
More information: cepr.org/events/9th-m...
#EconSky #Workshop #Conference
07.04.2025 12:40 β π 13 π 6 π¬ 0 π 0
For friends of text & images (or other unstructured data), submit your work until tomorrow to our workshop co-hosted with CEPR. It is online with slots for all timezones. The format has existed since 2021. Many drafts from earlier editions are now in great journals. Join the tradition :)
14.03.2025 09:54 β π 7 π 1 π¬ 0 π 0
Are you using text, images, audio, or videos in your research? Submit the 9th edition of our online workshop!
The extended submission deadline is *15 March 2025*
05.03.2025 11:03 β π 11 π 5 π¬ 0 π 0
Ressortleiter Stv. https://derStandard.at/Web / Journalist / Writing a lot about Linux, Android and IT Security. Also available on Mastodon https://chaos.social/@suka_hiroaki
Political scientist @ FUS, studying politics in multilingual places
https://giacomolemoli.com/
Postdoctoral fellow at ETH AI Center, working on Computational Social Science + NLP. Previously a PhD in CS at UMD, advised by Philip Resnik. Internships at MSR, AI2. he/him.
On the job market this cycle!
alexanderhoyle.com
PhD Candidate @ UZH - Computational Social Science
Professor of Social Psychology in Society at the University of Cambridge and Author of FOOLPROOF: Why We Fall for Misinformation and How to Build Immunity (2023) + The Psychology of Misinformation (2024). Bad News Game.
www.sandervanderlinden.com
Professor of Economics at @ULBruxelles, specializing in political economics.
Associate Research Scientist @ Northeastern University
https://rodogi.github.io
Departmental Lecturer in Comparative European Politics at University of Oxford.
Researching Migration and Politics.
π simonecremaschi.com
Journalist @ watson.ch π¨π | Schreibt und recherchiert u.a. zu Cybersecurity | Digitalpolitik | Darknet | Desinformation
Pro Ukraine πΊπ¦
Secure chat: β
http://threema.id/ACYMFHZX
Mastodon: https://social.tchncs.de/@schurt3r
former postdoc @ Institute of Law & Economics, Uni Hamburg | law & society, courts, authoritarianism & Russia | she/her https://ykhalikova.github.io/
Postdoc at Paris Dauphine. PhD from Sciences Po, Econ. Applied micro, political economy, culture and urban economics. https://vladimir-avetian.github.io/
The official BlueSky account for the Department of Economics at The University of Warwick
Professor of Economics, Sapienza University of Rome | IZA Fellow, Bonn | fabiosabatini.site.uniroma1.it | Substack: https://fabiosabatini.substack.com/
PhD candidate in econ @unicologne.bsky.social // interested in how we can improve media markets
Economist/Econometrician.
π¦πΊ πΊπΈ π§π·
Associate Professor at Monash University's Econometrics & Business Statistics Dept.
IZA Research Fellow
https://sites.google.com/site/otaviobartalotti/
Professor of Economics
University of Technology Sydney
https://sites.google.com/view/petersiminski/home
Assistant Professor of Economics at Stanford University
Postdoctoral Research Fellow, Collegio Carlo Alberto - Impact Evaluation Unit. PhD, University of Turin & Collegio Carlo Alberto.
https://sites.google.com/view/margherita-agnoletto/home-page
Econ PhD, Paris School of Economics. Working on a better online environment.
https://julius-goedde.github.io/
Assistant Professor in Computational Social Science at University of Amsterdam
Studying the intersection of AI, social media, and politics.
Polarization, misinformation, radicalization, digital platforms, social complexity.