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AJ Alvero

@ajalvero.bsky.social

Assistant Research Professor at Cornell University Center for Data Science for Enterprise and Society Affiliations with Departments of Information Science, Sociology, and Computer Science

63 Posts200 Follower190 Folgt
AJ Alvero@ajalvero.bsky.social · 2d ago

Sharing a new paper! We started with a basic question: when AI image generators produce an image of a person, what do they look like? The answer: a face rated as very attractive, much more attractive than actual people! Preprint: arxiv.org/abs/2610.22553

Generative AI Produces and Transmits Beauty Bias

Societies reward people judged to be attractive by standards intertwined with gender and race. In this paper, we examine if and how generative AI may contribute to these dynamics. We audited 27 text-t...

arxiv.org

Laura K. Nelson@lauraknelson.bsky.social · 7d ago

Treading lightly because I'm happy to see data annotation discussions happening anywhere. But I'm also incredibly frustrated that the AI/ML world seems to be happy ignoring literal *decades* of work on this topic. From a recently published paper in AAAI/ACM that has tipped me over into despair fr

Screen shot of an abstract reading: Abstract Modern AI systems depend on annotated data, but annotation is rarely treated as the act of measurement that it is. Instead, annotation quality is commonly reduced to agreement: if multiple annotators assign the same annotation to a data instance, the annotations are taken to be high-quality. Yet agreement does not establish whether annotations validly capture the underlying concept they are meant to represent. In this paper, we argue OP highlighted phrase "but annotation is rarely treated as the act of measurement it is." Because holy hell, in every discipline except AI/ML, it has been treated as an act of measurement for decades.screenshot of the article, reading "Similarly, P7, whose background is in data science, (jok-ingly) described the feeling of realizing that their annotationchallenge could be addressed by adopting best practicesfrom another field: “political science, apparently, has beendoing [pairwise annotation] for a long time and hiding itfrom everybody else.” When computer science and machine..." This may be my joker moment. Seriously.
Annaliese Paulson@annaliesep.bsky.social · 3mo ago

New Working Paper with Micah Baum and Joaquin Endara: Students tend to become more liberal during college. We study whether individual faculty make their students more liberal. We find no evidence that faculty affect student partisanship. Working Paper: edworkingpapers.com/ai26-1538 1/

Do Faculty Affect Student Partisanship?

We study whether Democratic college professors make their students more liberal. We link voter data to salary records from 33 state flagships and show that faculty skew Democratic, especially in the h...

edworkingpapers.com

Tina Law@tinalaw.bsky.social · 3mo ago

I'll be presiding over a really fantastic panel on the Implications of AI for Qualitative, Quantitative, and Computational Sociology Research on Monday at ASA. Come join us and sorry it's so early!

Bild
Chris Quintana@chrisquintana.bsky.social · 3mo ago

Florida loves the Classic Learning Test, an ACT/SAT competitor. It’s not about college applications though. High school leaders use it to pass students who failed the state’s exit exams. Grad rates are up, but some educators ask if that's good, my latest: www.usatoday.com/story/news/e...

Hegseth’s ‘gold standard’ college exam tests middle-school math

Held up as a new route to college admissions, the Classic Learning Test has instead become a remedial high-school graduation test in Florida.

usatoday.com

Nils Feldhus@nfel.bsky.social · 4mo ago

🙋 Looking for emergency reviewers for ARR May / #EMNLP2026 Topics: Interpretability/Explainability, RAG, Answer Attribution, Knowledge Conflicts If you're willing to complete a review before July 6 AoE, please reply or send a DM!

John Holbein@johnholbein1.bsky.social · 4mo ago

Running an experiment to study racial discrimination? Going to use names to signal race? Here's a new tool! This helps you to choose the names you want to use based on: 1.) the strength of the racial signal you want to send 2.) whether you want to hold other factors (e.g., class) constant

Tiffany J. Huang@tiffjhuang.bsky.social · 6mo ago

Recently out in @ersjournal.com: @vanctran.bsky.social, Mehr Mumtaz, and I analyzed 50 years' worth of research about Asian diasporic populations. 🔓 Open access: www.tandfonline.com/doi/full/10....

Asian diaspora research in Ethnic and Racial Studies, 1978–2025

What research has been conducted on the Asian global diaspora, and who produces this knowledge? We compiled a corpus of 128 ERS articles published from 1978 to 2025, focusing on four Anglophone cou...

tandfonline.com

Jess Calarco@jessicacalarco.com · 7mo ago

This is how disciplines die. Now that Sociology courses don't count for GenEd credit, far fewer students will take them, let alone choose Sociology as a major. And so, Sociology department budgets will shrink, meaning fewer faculty and fewer courses offered. www.miamiherald.com/news/politic...

Florida bans sociology from core curriculum at state universities

For years, Republican lawmakers and education leaders have argued that sociology — especially high-enrollment introductory courses — has been overtaken by progressive ideology

miamiherald.com

David Brady@davebrady72.bsky.social · 7mo ago

We’re delighted to announce a tenure track ASSISTANT PROFESSOR SEARCH. Fields: public management, implementation, governance, institutions & policy process. We will start reviewing applicants immediately & until position is filled. Start date is negotiable. usccareers.usc.edu/job/los-ange...

Assistant Professor of Public Policy and Management at USC

Learn more about applying for Assistant Professor of Public Policy and Management at USC

usccareers.usc.edu

Miriam Hurtado Bodell@mhbodell.bsky.social · 7mo ago

How can computational text analysis be used for building and testing social theory? @marckeuschnigg.bsky.social, @anamacanovic.bsky.social, @anmen.bsky.social & I write about how CTA is commonly used & how it might be used by sociologists in the future Out now: link.springer.com/article/10.1...

Computational Text Analysis for Building and Testing Social Theory - KZfSS Kölner Zeitschrift für Soziologie und Sozialpsychologie

Digitization and advances in natural language processing have transformed how sociologists can measure, model, and interpret social life through text. We provide an overview of computational text anal...

link.springer.com

Emilien Schultz@emilienschultz.eurosky.social · 9mo ago

La course des nouveaux usages associés aux modèles génératifs met la professions scientifiques à rude épreuve. Article précieux pour suivre l'état des usages #GenAI en sociologie sociologicalscience.com/articles-v13... par @oms279.bsky.social, @ajalvero.bsky.social @dustinstoltz.com et M. Taylor

Generative AI in Sociological Research: State of the Discipline

Article: Generative AI in Sociological Research: State of the Discipline | Sociological Science | Posted January 20, 2026

sociologicalscience.com

Per Engzell@pengzell.bsky.social · 9mo ago

JOB! I'm hiring a postdoc for 2 years on my ERC MaMo project. Looking for someone with strong quant methods, ongoing work close to the project's aims, and a desire to publish in sociology. Start flexible in the next 12 months. Formal call out shortly, but contact me first.

Markets and Mobility: How Employers Structure Economic OpportunityIntergenerational mobility, measuring the ability to achieve economic success regardless of family background, is a critical reflection of a society’s commitment to equality of opportunity. Rising income inequality has raised concerns about the potential erosion of upward mobility. While education has traditionally been viewed as the path to mobility, its transformative power is facing challenges in a rapidly evolving job market. This project reorients the focus of intergenerational mobility research by highlighting the labor market as an arena for the reproduction of advantage. It employs a comparative approach, using administrative data from four countries: Sweden, Austria, England, and the United States. It also incorporates evidence from a broader set of nations through cross-national surveys, longitudinal household surveys, labor force surveys, secondary data, and digital trace data. The project employs cutting-edge empirical methods, including quasi- experimental designs, event studies, within-family comparisons, decomposition analyses, counterfactual simulations, and diagnostic checks to rigorously assess the extent of inequalities in the labor market. The research investigates how family background influences the sorting of individuals to employers and workplaces, accounting for education and occupation, and explores variations in career progression within and between employers. It comprehensively catalogues and assesses mechanisms shaping workplace inequality, contributing to the development of social closure theory. Additionally, the project evaluates intervention strategies, encompassing both employer practices and government actions, to promote fair opportunity in the labor market.