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Marianne Aubin Le Quéré

@mariannealq.bsky.social

1.6K followers 380 following 100 posts

Postdoctoral Fellow @ Princeton CITP. ex-Cornell PhD, future UIUC asst prof (fall 2026). Looking at AI's impact on information ecosystems and news consumption. social computing, computational social science & journalism mariannealq.com

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Marianne Aubin Le Quéré @mariannealq.bsky.social · Jun 4

It's finally public! 🎉

Excited to announce I'll be joining UIUC's iSchool as an Assistant Professor in Fall 2026. My lab will focus on AI information ecosystems, computational social science, and social computing. I will start recruiting PhD students this cycle, so please reach out if interested.

iSchool at Illinois @ischoolui.bsky.social · Jun 4

The #iSchoolUI is pleased to announce that Marianne Aubin Le Quéré (@mariannealq.bsky.social) will join the faculty as an assistant professor in August 2026. Her work traces how AI and other emerging technologies impact online news and civic information ecosystems. ▶️ bit.ly/4kObZ0l

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Marianne Aubin Le Quéré @mariannealq.bsky.social · 2d

Come join my wonderful colleagues at Princeton next year!

Princeton Center for Information Technology Policy @princetoncitp.bsky.social · 2d

CITP is now accepting applications for the 2026–27 Fellows Program. We're looking for the following:

➡️ Postdoctoral Research Associate
➡️ Visiting Research Scholar (Visiting Professional)
➡️ Microsoft Visiting Research Scholar (Visiting Professor)

Apply online: citp.princeton.edu/news/2025/no...

Reposted by Marianne Aubin Le Quéré

Claes de Vreese @claesdevreese.bsky.social · 6d

Come work with us 🚨

We are looking for a #postdoc in our @aimediademlab.bsky.social lab.

Profile: Comm sci / poli sci/ computational social science.

Great team, timely topocs, fabulous city, good conditions.

DL 🗓️ November 1

werkenbij.uva.nl/en/vacancies...

Vacancy — Postdoctoral researcher Communication Science at AI, Media & Democracy Lab

Do you want to be part of the AI, Media & Democracy Lab? We are looking for a postdoctoral researcher with a profile in communication science.

werkenbij.uva.nl

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Marianne Aubin Le Quéré @mariannealq.bsky.social · 20d

My first Princeton AND my first systems paper!

In this work, we develop a system (Bonsai 🌱) to enable users to design intentional social media feeds. Our findings identify trade-offs between engagement- and intention-driven social feeds. Can we build towards hybrid approaches in the future?

Manoel Horta Ribeiro @manoelhortaribeiro.bsky.social · 22d

Social media feeds today are optimized for engagement, often leading to misalignment between users' intentions and technology use.

In a new paper, we introduce Bonsai, a tool to create feeds based on stated preferences, rather than predicted engagement.

arxiv.org/abs/2509.10776

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Reposted by Marianne Aubin Le Quéré

kim yi dionne (she/her) @dadakim.bsky.social · Sep 5

Great job at the Pew Research Center for a Computational Social Science Assistant: pewtrusts.wd5.myworkdayjobs.com/en-US/Center...

Computational Social Science Assistant, Data Labs

Position Summary The Computational Social Science Assistant works with other staff at Data Labs to produce original research that expands on the work of the Pew Research Center using new methods, data...

pewtrusts.wd5.myworkdayjobs.com

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Reposted by Marianne Aubin Le Quéré

Alexios Mantzarlis @mantzarlis.com · Sep 2

T&S / Red Teaming folks!

I'm trying a new thing at @cornelltech.bsky.social: A Red Team Clinic for non profits / public interest groups who want an additional layer of scrutiny for their AI tools.

Please share with organizations that might be interested: mailchi.mp/tech/sets-ai...

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Reposted by Marianne Aubin Le Quéré

Julia M. Rohrer @dingdingpeng.the100.ci · Aug 25

Ever stared at a table of regression coefficients & wondered what you're doing with your life?

Very excited to share this gentle introduction to another way of making sense of statistical models (w @vincentab.bsky.social)
Preprint: doi.org/10.31234/osf...
Website: j-rohrer.github.io/marginal-psy...

Models as Prediction Machines: How to Convert Confusing Coefficients into Clear Quantities

Abstract
Psychological researchers usually make sense of regression models by interpreting coefficient estimates directly. This works well enough for simple linear models, but is more challenging for more complex models with, for example, categorical variables, interactions, non-linearities, and hierarchical structures. Here, we introduce an alternative approach to making sense of statistical models. The central idea is to abstract away from the mechanics of estimation, and to treat models as “counterfactual prediction machines,” which are subsequently queried to estimate quantities and conduct tests that matter substantively. This workflow is model-agnostic; it can be applied in a consistent fashion to draw causal or descriptive inference from a wide range of models. We illustrate how to implement this workflow with the marginaleffects package, which supports over 100 different classes of models in R and Python, and present two worked examples. These examples show how the workflow can be applied across designs (e.g., observational study, randomized experiment) to answer different research questions (e.g., associations, causal effects, effect heterogeneity) while facing various challenges (e.g., controlling for confounders in a flexible manner, modelling ordinal outcomes, and interpreting non-linear models).

Figure illustrating model predictions. On the X-axis the predictor, annual gross income in Euro. On the Y-axis the outcome, predicted life satisfaction. A solid line marks the curve of predictions on which individual data points are marked as model-implied outcomes at incomes of interest. Comparing two such predictions gives us a comparison. We can also fit a tangent to the line of predictions, which illustrates the slope at any given point of the curve.

A figure illustrating various ways to include age as a predictor in a model. On the x-axis age (predictor), on the y-axis the outcome (model-implied importance of friends, including confidence intervals).

Illustrated are
1. age as a categorical predictor, resultings in the predictions bouncing around a lot with wide confidence intervals
2. age as a linear predictor, which forces a straight line through the data points that has a very tight confidence band and
3. age splines, which lies somewhere in between as it smoothly follows the data but has more uncertainty than the straight line.

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Reposted by Marianne Aubin Le Quéré

Brendan Nyhan @brendannyhan.bsky.social · Aug 21

New job ad: Assistant Professor of Quantitative Social Science, Dartmouth College apply.interfolio.com/172357

Please share with your networks. I am the search chair and happy to answer questions!

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Marianne Aubin Le Quéré @mariannealq.bsky.social · Aug 19

I find this feed to be a consistently good way to see relevant papers and thinkpieces here!

Paper Skygest Team @paper-feed.bsky.social · Aug 19

**Please repost** If you're enjoying Paper Skygest -- our personalized feed of academic content on Bluesky -- we'd appreciate you reposting this! We’ve found that the most effective way for us to reach new users and communities is through users sharing it with their network

Reposted by Marianne Aubin Le Quéré

Yuerong Hu @yrhu.bsky.social · Aug 18

My co-authors, Jana Diesner, @tedunderwood.me, @zoeleblanc.bsky.social, @gworthey.bsky.social and
@profdownie.bsky.social, and I are excited to share our paper in @bigdatasoc.bsky.social "Who decides what is read on Goodreads?" on book review sponsorship, open access at doi.org/10.1177/2053....

Hu, Y., Diesner, J., Underwood, T., LeBlanc, Z., Layne-Worthey, G., & Downie, J. S. (2025). Who decides what is read on Goodreads? Uncovering sponsorship and its implications for scholarly Research. Big Data & Society, 12(3). https://doi.org/10.1177/20539517251359229 (Original work published 2025)

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Reposted by Marianne Aubin Le Quéré

Sarah Shugars @shugars.bsky.social · Aug 13

Exciting work coming from @pranavgoel.bsky.social looking at the effect of ChatGPT and similar tools on web browsing habits.

When people use these tools do they tend to stay on the platform instead of being referred elsewhere? Could this lead to the end of the open web? #pacss2025 #polnet2025

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Marianne Aubin Le Quéré @mariannealq.bsky.social · Aug 13

Northeast #CSCW rise up!!!

sohyeon hwang @s0hw.bsky.social · Aug 12

I'm co-organizing #CSCW NE, an in-person regional gathering for people in Northeast America, alongside some folks from Stevens, Rutgers, and Princeton. If you want to come hang out (especially if you can't make it out to the full conference in Bergen this year), RSVP at cscw-ne.hci.social!

A faded etching of the Hudson River from Hoboken is overlaid with the following text: CSCW Northeast 2025, in-person regional gathering. Friday, October 3, 2025, 10AM-4:30PM at University Center Complex, Stevens Institute of Technology. RSVP: cscw-ne.hci.social

The logos of HCI at Stevens, Princeton HCI, and Rutgers University are on the right-hand side.

Marianne Aubin Le Quéré @mariannealq.bsky.social · Aug 2

Does your work explore mis/disinformation, scams, hate speech, or other forms of harmful information online?

We are convening a CSCW workshop to bring together a global community focused on information disorder. We welcome 2-6 page submissions, due August 8th.

Cscw2025infodisorder.netlify.app

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Reposted by Marianne Aubin Le Quéré

Shaily @shaily99.bsky.social · Jun 9

🖋️ Curious how writing differs across (research) cultures?
🚩 Tired of “cultural” evals that don't consult people?

We engaged with interdisciplinary researchers to identify & measure ✨cultural norms✨in scientific writing, and show that❗LLMs flatten them❗

📜 arxiv.org/abs/2506.00784

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An overview of the work “Research Borderlands: Analysing Writing Across Research Cultures” by Shaily Bhatt, Tal August, and Maria Antoniak. The overview describes that We survey and interview interdisciplinary researchers (§3) to develop a framework of writing norms that vary across research cultures (§4) and operationalise them using computational metrics (§5). We then use this evaluation suite for two large-scale quantitative analyses: (a) surfacing variations in writing across 11 communities (§6); (b) evaluating the cultural competence of LLMs when adapting writing from one community to another (§7).

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Reposted by Marianne Aubin Le Quéré

Janel Comeau 🍁 @verybadllama.bsky.social · Jun 10

Google and Meta search both report that Cape Breton Island has its own time zone 12 minutes ahead of mainland Nova Scotia time because they are both drawing that information from a Beaverton article I wrote in 2024