Omar Wasow | @[email protected] @owasow
Asst Prof, Berkeley, Pol. Science. Study protests, stats & race: 1/ Agenda Seeding https://t.co/HQAGSf9JK9 2/ Race as Bundle of Sticks https://t.co/PuFZmnG4qP omarwasow.com Joined June 2007-
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Omar Wasow | @[email protected] retweeted
New Paper: "Measuring Group Alignment in Public Opinion" The standard for issue polling is to report issue-by-issue agreement, yet democratic representation hinges whether coalitions can agree on *issue platforms*. My paper tells you exactly how to measure that.
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Omar Wasow | @[email protected] retweeted
Americans say they want less inequality. Why don’t they support policies to reduce it? The answer depends on which policies you ask about. New paper: across 31 nationally representative survey waves (N=384,248) and a preregistered experiment (N=1,009), Americans favor PREdistributive over REdistributive policies🧵 osf.io/preprints/soca…
Thrilled this paper is now published! Here’s my earlier thread explaining Text as Behavior: x.com/owasow/status/…
The paper walks through three studies where text is used to quantify attitudes and actions. Ultimately, the paper argues that expression is sufficiently demanding that it should be understood as a form of action. Read the paper here: cambridge.org/core/journals/…
Omar Wasow | @[email protected] retweeted
The paper walks through three studies where text is used to quantify attitudes and actions. Ultimately, the paper argues that expression is sufficiently demanding that it should be understood as a form of action. Read the paper here: cambridge.org/core/journals/…
Omar Wasow | @[email protected] retweeted
Currently in FirstView: In “Text as Behavior,” @owasow proposes using features of open-ended tasks to study text as behavior. Stats like the number of characters can approximate effort and significantly improve estimation.
Omar Wasow | @[email protected] retweeted
Update on my benchmark of local vs. commercial LLMs for text classification, focusing on political science applications. I compared 5 local open-weight models with 4 API models on 34 coding tasks (~147k predictions). Tasks include tweets, news, survey responses, policy texts, etc The best local LLMs are often close and sometimes perform better. Local models match or exceed API on 9/34 tasks. The average API advantage is pretty small, at 0.015 F1.
Omar Wasow | @[email protected] retweeted
New article w/ @YusakuHoriuchi “Unraveling Americans’ Selective Sympathies Toward Israelis and Palestinians,” is now OA at @ISQ_Jrnl! Using conjoints fielded during Gaza war, we show motivated reasoning alters how Americans react to info about the conflict.
Omar Wasow | @[email protected] retweeted
For 45 years, Berkeley built virtually no new housing. By the mid-2010s, it was the most expensive college town in America. Shortly thereafter, YIMBYs took over and kicked off a building boom. Today, nominal rents are below 2018 rates—remarkable progress on affordability.
Omar Wasow | @[email protected] retweeted
The world hasn’t noticed yet, but Mexico’s recent drop in homicides may be showing that there is an alternative to Bukele’s model. Very happy to share my first piece for @ProSyn project-syndicate.org/commentary/mex…
Text as behavior is low-cost, hard to game, works across languages and can turn silence into signal. Delighted it’s published and grateful to reviewers and editors @polanalysis. As Steinem once said, “I don’t like writing. I like having written.” cup.org/4cUmoXi fin/
Does it work across languages? Afrobarometer data from 36 African countries: people who value democracy say more when asked what democracy means to them. Similar positive slopes in English, French and Portuguese. cup.org/4cUmoXi 9/
"Writing is hard." Thrilled to share that this simple idea led to a new paper in @polanalysis. Most text methods focus on content. I test if expression is also effortful action and find measures like character counts reveal attitudes and predict voting. cup.org/4cUmoXi 1/
Omar Wasow | @[email protected] retweeted
From our February Issue: Plutopopulism: Wealth and Trump’s Financial Base by @SKates5350, ERIC MANNING, @TMendelberg and @owasow. doi.org/10.1017/S00030…
@CSElmendorf @polanalysis @ClaytonNall I think I saw @ClaytonNall present an earlier version of this at Berkeley and was impressed then. Looks like it’s even more compelling now. Look forward to reading this draft and delighted to know the text as behavior paper might be helpful.
@blackbruin @EfrenPoliPsy @polanalysis Thank you, sir!
@RobbWiller @polanalysis Muchas gracias! And belated congrats on the Guggenheim Fellowship! Well earned!
@polanalysis Easter egg: in 1984, Michael Crichton’s short story Mousetrap imagined that behavioral traces in typing could be as distinctive as fingerprints… omarwasow.com/Crichton-Mouse… cup.org/4cUmoXi
Text as behavior is low-cost, hard to game, works across languages, and can turn silence into signal. Grateful to reviewers and editors at @polanalysis. As Gloria Steinem once said, “I don't like writing. I like having written.” cup.org/4cUmoXi fin/
@olivertraldi @polanalysis That’s very generous of you to say. Danke!
@RikioInouye Much obliged! And congrats on the post-doc and new job!!
@djacobs @polanalysis Thank you for the kind words! Glad to hear it sparked you.
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