Political attacks on the press are ↗️ globally & so is partisan polarization. In a new 📝 @aasiegel.bsky.social & I explore the polarizing effects of attacks on the press using an event study of targeted radio journalists and a series of experiments in Israel!
www.chagaiweiss.com/papers/inpro...
Currently in FirstView: In “Measuring Media Criticism with ALC Word Embeddings,” @cbarrie.bsky.social, Neil Ketchley, @aasiegel.bsky.social, and Mossaab Bagdouri introduce a method for estimating media criticism using à la carte word embeddings which requires only minimal computational resources.
Can’t wait for our panel with @lisablaydes.bsky.social, @sharangrewal.bsky.social, @shalaby12.bsky.social, @aasiegel.bsky.social, Neil Ketchley, and me. We’ll discuss data scarcity in MENA and how to overcome it.
📅 Today, 2:00–3:30pm PDT
📍 VCC, West Level 1, Room 113 (or Zoom)
tinyurl.com/ymnyafts
Excited to share our new paper in Political Analysis co-authored with Neil Ketchley, @aasiegel.bsky.social and Mossaab Bagdouri! 📢
We introduce an open-source, computationally light method for measuring media criticism—a key marker of media freedom and democratization.
Congrats, Will!! 🎉🎉
I'm so sorry to hear this, I'm such a fan of your work and your contributions to MENA poli sci!!
Congratulations!! So happy for you! 🎉🎉🎉🎉
"The majority of the suspended accounts were 'university-associated activist accounts, basically sharing protest information, locations for students to go,' Yusuf Can, coordinator and analyst at the Wilson Center's Middle East Program, told POLITICO."
The hallmark of an effective repressive system is not that everybody is being repressed, but that a few people are targeted and everybody else learns to keep their mouth shut. Meet repression with solidarity and mobilization, not self-censorship. More here: tinyurl.com/37fdanve
How can researchers identify covert state propaganda campaigns in China? My co-authors Yin Yuan, Molly Roberts, Brandon Stewart @bstewart.bsky.social and myself are excited to share our new article in PNAS (@PNAS): doi.org/10.1073/pnas...
Thread below.
"Outgroup Avoidance" w/ @aasiegel.bsky.social & Alex Scacco is conditionally accepted at @thejop.bsky.social! I am rly proud of this paper & I think it has important implications for folks studying prejudice reduction and depolarization! Check it out!
www.chagaiweiss.com/papers/inpro...
Thrilled to share this @goodauth.bsky.social analysis, and sneak peak of forthcoming research, with @aasiegel.bsky.social at such an incredible time for Syria. Activists, inside and outside the country, have been working for their cause and communities throughout a brutal war. 1/2
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! 💕👩💻👩🏻💻
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.
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
New paper in @apsrjournal.bsky.social with @andreasbeerli.bsky.social, Dominik Hangartner, and Dalston Ward about #immigration and voting for the #FarRight in #Switzerland
congratulations to the amazing @kkaur.bsky.social
on her fantastic dissertation defense! 🎉🎉🎉 #PhDone!
