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.

Jon Cohen used Latin American presidential speech data to explore the Rise in Anti-Indigenous speech and its relationship to political violence.

Elijah Boykoff explored variation in states' AI legislation using word embeddings and unsupervised ML.

Katie Sevin explored how state level actors and institutions worked to erode the intended goals of the
Reconstruction Amendments using historical newspaper data.

Alexandra Philippidis explored variation in references to Palestine in global political manifestos using data from the comparative manifesto project.

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.

Stone Neilon used presidential campaign speeches and keyword assisted topic models to explore regional variation in candidates' messaging.

Monica Obregon used education bills and structural topic models to explore variation in legislation language in states with and without voucher programs.

@alexbnewhouse.bsky.social collected large-scale 4chan data and finetuned a DistillBert model to explore how apocalyptic millenarian rhetoric responds to terror attacks.

Deepika Rama Subramanian used Reddit data and topic models to explore changes in the discussion of abortion after Roe v. Wade was overturned.

Isha Banerjee used supervised and unsupervised machine learning to explore when politicians incite anti-outgroup rhetoric in India

@katieglenn.bsky.social used large-scale Twitter data, dictionaries, and word embeddings to explore gender differences in how constituents discuss politicians' appearance/fashion.

Eman Bensreiti used data from Gab, Truth Social, Telegram, and Bluesky, dictionaries, and topic models to explore how proponents of book bans evoke nostalgia rhetoric.

Thanks to my @cuboulder.bsky.social Text as Data students for a great semester! Check out their final projects/research proposals!

Anna Kowalski used CEDAW treaties, dictionaries, and topic models to explore variation in how states comply with international treaties

congratulations to the amazing @kkaur.bsky.social
on her fantastic dissertation defense! 🎉🎉🎉 #PhDone!