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Stephan Hollander

@stephanhollander.bsky.social

Professor @TilburgU School of Economics and Management. Computational linguistics, text-as-data, and Python (@ThePSF) enthusiast. ZEPH 3 17

114 Posts3691 Follower114 Folgt
Ben Casselman@bencasselman.bsky.social · 2w ago

If I’ve said it once, I’ve said it a thousand times: The stock market is not the economy. Except, right now, maybe it is? A.I. is driving the market. The market is driving spending and investment (much of it on A.I.). But what happens if it all comes crashing down? www.nytimes.com/2026/07/22/b...

A.I. Is Lifting Markets and the Economy and Raising Risks for Both (Gift Article)

Investment in artificial intelligence and related companies is lifting the stock market and spending across the economy.

nytimes.com

M.J. Crockett@mjcrockett.bsky.social · last mo.

Joseph Weizenbaum's 1976 book, Computer Power and Human Reason, has long been out of print - used copies sell for hundreds of dollars. It's wild that this is not more widely available given how much his ideas still apply to the world we're in now. 🧵/

Per Engzell@pengzell.bsky.social · 2mo ago

Short story about statistical modeling without causal inference gone badly wrong. Just head on the news that preschoolers play 15 minutes less on rainy days. The reporting stressed that the research was "associational" and therefore couldn't tell us why. Huh? 1/

Rohan@rohandas.net · 3mo ago

Computational approaches to media narrative analysis either miss nuanced storytelling patterns through coarse-grained analysis, or require domain-specific taxonomies that limit scalability. We show joint event and character modeling can address this gap. Details in our #ACL2026 (Main) paper. 🧵1/10

Paper Title: A Structured Clustering Approach for Inducing Media Narratives Authors: Rohan Das, Advait Deshmukh, Alexandria Leto, Zohar Naaman, I-Ta Lee, Maria Leonor Pacheco
Omar Wasow@owasow.bsky.social · 3mo ago

“Writing is hard.” Thrilled to share that this simple idea led to a new paper in Political Analysis! Where most text methods focus on content, I test if expression is also effortful action. I find simple measures like character counts reveal attitudes and predict voting. cup.org/4cUmoXi 1/

Text as Behavior Text as Behavior published in Political Analysis by Omar Wasow Abstract Text analysis typically focuses on content—such as sentiment or topic—but expression is also a form of effortful action. Building on this insight, I propose using simple features of open-ended tasks to study text as behavior. This approach treats expression, such as writing, as cognitively, emotionally and temporally “costly” for subjects but inexpensive for researchers. I show basic statistics like the number of characters can approximate effort and significantly improve estimation of quantities of interest, including candidate choice, the probability of turning out to vote and psychological states about which a subject may not be fully aware. Further, these methods can convert nonresponse into informative data; validate survey instruments; serve as mechanism checks; be hard for a subject to “game”; work across different languages and analogize well to real-world situations. In sum, text as behavior can help address a range of issues related to quantifying attitudes and actions.
Kyle Lo @ ICML2026 🇰🇷@kylelo.bsky.social · 3mo ago

during in Olmo 3 we thought long context is just finding good data nope! model architecture matters & it's hard to recover if mess it up led by @abertsch.bsky.social, we release many pretrain runs w/ small arch changes and show huge long context performance diffs

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Ai2@ai2.bsky.social · 3mo ago

Recipes for teaching language models to handle long inputs don't work equally well across model families. We wanted to know why—is it the architecture, the training data, or both? 🧵

AEA Journals@aeajournals.bsky.social · 3mo ago

Forthcoming in the AER: "The Effect of Omitted Variables on the Sign of Regression Coefficients" by Matthew A. Masten and Alexandre Poirier.

The Effect of Omitted Variables on the Sign of Regression Coefficients

(Forthcoming Article) - We show that, depending on how the impact of omitted variables is measured, it can be substantially easier for omitted variables to flip coefficient signs than to drive them to zero. This behavior occurs with “Oster’s delta” (Oster 2019b), a widely reported robustness measure. Consequently, any time this measure is large—suggesting that omitted variables may be unimportant—a much smaller value reverses the sign of the parameter of interest. We propose a modified measure of robustness to address this concern. We illustrate our results in four empirical applications and two meta-analyses. We implement our methods in the companion Stata module regsensitivity.

aeaweb.org

Christian Zimmermann@czimm-economist.bsky.social · 3mo ago

To illustrate how much bots are pounding RePEc sites, Google Analytics, which is supposed to weed them out, thinks there have been 3.5M active users from Singapore (population 6M) in the last four weeks. And as many users from Iraq as from Canada. ideas.repec.org #RePEc #EconSky

Economics and Finance Research | IDEAS/RePEc

IDEAS is a central index of economics and finance research, including working papers, articles and software code

ideas.repec.org

Paul Goldsmith-Pinkham@paulgp.com · 3mo ago

My friend is teaching to his Economics Ph.D. students and explaining why they should be interested in topics that are not in their subfield. The friend asked for statements about why learning from other fields is good. Here was my answer: " Five things:

Petter Törnberg@pettertornberg.com · 3mo ago

Social media is no longer social. Most of it is passive viewing of videos and pictures from people we've never met. But we're still studying social media like it's 2010. We've entered the post-social media era — and research needs to catch up. osf.io/preprints/so... preprint w/ Richard Rogers

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Maria Antoniak@mariaa.bsky.social · 4mo ago

What are the worst ethical disasters in NLP history? (I'm teaching "ethics of NLP" tomorrow and history is good for teaching this topic.) Most are data breaches/releases (AOL search logs, OKCupid profiles, Finnish therapy records...) but what others? I'll put some other examples in thread --> 1/n

Soumaya Keynes@soumayakeynes.ft.com · 5mo ago

found something rather baffling when researching my column this week… I wanted to see if there was any evidence that AI tools were helping economists to make their research more readable. So I analysed the text of NBER working paper abstracts…