Alexandra Siegel
aasiegel.bsky.social
Alexandra Siegel
@aasiegel.bsky.social
Associate Prof. University of Colorado Boulder

MENA Politics & Computational Social Science

alexandra-siegel.com
Congrats, Will!! 🎉🎉
August 1, 2025 at 7:34 PM
I'm so sorry to hear this, I'm such a fan of your work and your contributions to MENA poli sci!!
May 9, 2025 at 3:47 PM
Congratulations!! So happy for you! 🎉🎉🎉🎉
April 3, 2025 at 9:55 PM
Wonderful getting to work on this project with such an amazing coauthor—combining insights/evidence from Rana’s fieldwork with large-scale descriptive analysis of social media data! 💕👩‍💻👩🏻‍💻
December 19, 2024 at 3:17 PM
Poushali Mohanta used sentiment analysis and topic models to explore regional variation in Indian parliamentary debate texts surrounding the implementation of the Goods and Services Tax in 2017-2018.
December 17, 2024 at 10:14 PM
Tania Massicotte used Congressional floor speech data, dictionary methods, and topic models to explore variation in anti-labor rhetoric from 1941 to 1951 surrounding the Taft-Hartley vote.
December 17, 2024 at 10:14 PM
Jon Cohen used Latin American presidential speech data to explore the Rise in Anti-Indigenous speech and its relationship to political violence.
December 17, 2024 at 10:14 PM
Elijah Boykoff explored variation in states' AI legislation using word embeddings and unsupervised ML.
December 17, 2024 at 10:14 PM
Katie Sevin explored how state level actors and institutions worked to erode the intended goals of the
Reconstruction Amendments using historical newspaper data.
December 17, 2024 at 10:14 PM
Alexandra Philippidis explored variation in references to Palestine in global political manifestos using data from the comparative manifesto project.
December 17, 2024 at 10:14 PM
Ansgarius Manek used Indonesian presidential speech data as well as data from public petitions, to explore whether elites lead or follow mass calls to action.
December 17, 2024 at 10:14 PM
Stone Neilon used presidential campaign speeches and keyword assisted topic models to explore regional variation in candidates' messaging.
December 17, 2024 at 10:14 PM
Monica Obregon used education bills and structural topic models to explore variation in legislation language in states with and without voucher programs.
December 17, 2024 at 10:14 PM
@alexbnewhouse.bsky.social collected large-scale 4chan data and finetuned a DistillBert model to explore how apocalyptic millenarian rhetoric responds to terror attacks.
December 17, 2024 at 10:14 PM
Deepika Rama Subramanian used Reddit data and topic models to explore changes in the discussion of abortion after Roe v. Wade was overturned.
December 17, 2024 at 10:14 PM
Isha Banerjee used supervised and unsupervised machine learning to explore when politicians incite anti-outgroup rhetoric in India
December 17, 2024 at 10:14 PM
@katieglenn.bsky.social used large-scale Twitter data, dictionaries, and word embeddings to explore gender differences in how constituents discuss politicians' appearance/fashion.
December 17, 2024 at 10:14 PM