Miriam Hurtado Bodell
@mhbodell.bsky.social
Postdoc in Analytical Sociology @Linköping University, reality TV enthusiast & ganska ”skoj”. https://mhbodell.github.io
So excited to announce that I have been awarded a SEK2.7M Project Grant from @riksjubileumsfond.bsky.social to study the dynamics of meaning divergence! 🎉
October 24, 2025 at 10:36 AM
So excited to announce that I have been awarded a SEK2.7M Project Grant from @riksjubileumsfond.bsky.social to study the dynamics of meaning divergence! 🎉
Reposted by Miriam Hurtado Bodell
a new working paper: osf.io/vsr5b
I propose a three-stage model of cohortization where dynamics of cohort learning and political sorting serve as complementary engines of aggregate political change.
I apply this to the case of the killing of George Floyd & the BLM.
it's also my job market paper!
I propose a three-stage model of cohortization where dynamics of cohort learning and political sorting serve as complementary engines of aggregate political change.
I apply this to the case of the killing of George Floyd & the BLM.
it's also my job market paper!
September 1, 2025 at 5:33 PM
a new working paper: osf.io/vsr5b
I propose a three-stage model of cohortization where dynamics of cohort learning and political sorting serve as complementary engines of aggregate political change.
I apply this to the case of the killing of George Floyd & the BLM.
it's also my job market paper!
I propose a three-stage model of cohortization where dynamics of cohort learning and political sorting serve as complementary engines of aggregate political change.
I apply this to the case of the killing of George Floyd & the BLM.
it's also my job market paper!
Interested in theory-driven topic modeling? Check out our paper on using seeded LDA to analyze how the framing of immigration has evolved over 75 years.
Want to avoid the tea leaves part when running topic models?
The semi-supervised seeded (or constrained) topic model allows infusion of sociological knowledge when discovering meaning structures. Topics then are readily interpretable.
journals.sagepub.com/doi/10.1177/...
The semi-supervised seeded (or constrained) topic model allows infusion of sociological knowledge when discovering meaning structures. Topics then are readily interpretable.
journals.sagepub.com/doi/10.1177/...
Seeded Topic Models in Digital Archives: Analyzing Interpretations of Immigration in Swedish Newspapers, 1945–2019 - Miriam Hurtado Bodell, Måns Magnusson, Marc Keuschnigg, 2024
Sociologists are discussing the need for more formal ways to extract meaning from digital text archives. We focus attention on the seeded topic model, a semi-su...
journals.sagepub.com
November 14, 2024 at 4:22 PM
Interested in theory-driven topic modeling? Check out our paper on using seeded LDA to analyze how the framing of immigration has evolved over 75 years.