iiinova — where your digital self keeps evolving

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Meera Desai @madesai.bsky.social · 28/09/2026

Excited to share our new paper, “What AI Benchmarks Actually Measure: Adapting Convergent and Discriminant Validity to Interrogate Fifty-Six AI Benchmarks,” accepted as an oral at COLM! arxiv.org/pdf/2609.08812

Heatmap of average correlations between model rankings on benchmarks grouped into 11 assigned concepts: four capability concepts (reasoning, knowledge, comprehension, summarization) and seven safety concepts (over-refusal, refusal, safety detection, ethics, bias, privacy, unsafe behavior). Diagonal cells show within-concept correlations, ranging from 0.87 (knowledge) and 0.72 (over-refusal) down to 0.20 (bias) and 0.02 (safety detection). Reasoning, knowledge, and comprehension correlate with each other at 0.69 to 0.78, higher than reasoning's and comprehension's own within-concept values (0.66 and 0.68). Ethics correlates more with knowledge (0.70) than with itself (0.55), and bias correlates more with capability concepts (0.41 to 0.45) than with itself (0.20). Privacy and unsafe behavior correlate negatively with reasoning, knowledge, and comprehension (−0.41 to −0.49). Over-refusal and refusal correlate at −0.42.

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naitian @naitian.org · 24/09/2026

If you haven't yet registered for TADA 2026 on October 5th (day before COLM), registration is open to the public! Detailed schedule forthcoming, but lots of fantastic posters and talks. We even have a second half-day of lightning talks scheduled! tada2026.eventbrite.com

tada2026.eventbrite.com

Text as Data 2026

A leading forum for interdisciplinary research on the study of politics, society, and culture through computational analysis of documents.

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Maria Antoniak @mariaa.bsky.social · 14/09/2026

We're hiring in Computer Science at the University of Colorado Boulder! ☀️⛰️ Machine learning and NLP people, please apply!

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Dustin Wright @dustinbwright.com · 13/10/2025

Which, whose, and how much knowledge do LLMs represent? I'm excited to share our preprint answering these questions: "Epistemic Diversity and Knowledge Collapse in Large Language Models" 📄Paper: arxiv.org/pdf/2510.04226 💻Code: github.com/dwright37/ll... 1/10

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Eytan Adar @eytan.adar.prof · 11/08/2026

I wrote a post about the emergence of AI-native students who do their research using GenAI tools. I think that there are some real risks to job prospects and the likely changes in their fields.

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Eugene Vinitsky 🍒 @eugenevinitsky.bsky.social · 04/08/2026

Left, right, whatever, I just want graduate students posting their papers here

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International Conference on Computational Social Science @ic2s2.bsky.social · 01/08/2026

That's a wrap on IC2S2 2026... we'll see you next year in Milan! 😍

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Julia Mendelsohn @jmendelsohn2.bsky.social · 28/07/2026

While I'm posting for #IC2S2, I want to share my new lab and website with you all! Our lab is called "Computational Analysis of Text and Society" (CATS) and I finally updated the website! Check it out: cats-group.github.io

cats-group.github.io

CATS Lab

CATS (Computational Analysis of Text and Society) is an interdisciplinary research lab at the University of Maryland.

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Julia Mendelsohn @jmendelsohn2.bsky.social · 28/07/2026

Just arrived in Burlington for #IC2S2! My student Krystal Gong will be presenting: 👉 Thursday @ 10:45 in Chittenden (413) about geopolitical stance formation in LLMs 👉 Friday @ 14:15 in Jost Foundation (422) about quantifying persuasive cues in text (arxiv.org/abs/2606.14580) @ic2s2.bsky.social

arxiv.org

Persuasion Index: A Theory-Guided Framework for Persuasion Analysis

Identifying persuasive rhetorical cues is critical across domains, from detecting information manipulation and improving AI safety to advancing public health communication. We propose Persuasion Index...

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Pranav Goel @pranavgoel.bsky.social · 21/07/2026

Happening next week, July 28, at @ic2s2.bsky.social !!

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Georg Ahnert @ahnert.eurosky.social · 22/07/2026

Excited to present a tutorial on simulating survey responses with LLMs at @ic2s2.bsky.social next week! ✨ 👉 central themes: analytic flexibility & hybrid samples with @gligoric.bsky.social, @indiiigo.bsky.social, @maximiliankreutner.bsky.social, @jrupprec.bsky.social, and @mstrohm.bsky.social – 🧵

Cover image for our IC2S2 Tutorial titled "An Introduction to Simulation Human Survey Responses with LLMs: Potentials and Pitfalls", happening on Tuesday, July 28 between 1:15pm and 4:30pm. The image features a few of the choices researchers can take when simulating survey responses with LLMs: questionnaire presentation and prompt perturbations, amongst others.

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Denis @dpeskoff.bsky.social · 14/07/2026

Do you work across computational methods, social sciences, and the humanities? Submit to Text as Data 2026! 📄 One-page submissions 🔓 Non-archival ⏰ Due August 1 📍 October 5 @UCBerkeley tada2026.org

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Julia Mendelsohn @jmendelsohn2.bsky.social · 24/06/2026

Finally I get to reap the benefits of search personalization

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Do Won Kim @dowonkim.bsky.social · 16/06/2026

1/ Excited to share our new paper: Challenging Partisan Expectations Reduces Political Polarization We find that political conversations reduce polarization most when they challenge what people expect about partisan boundaries. 🧵 Paper: arxiv.org/abs/2606.15901 #polisky

arxiv.org

Challenging Partisan Expectations Reduces Political Polarization

Political conversations are often proposed as a remedy for political polarization, yet their effectiveness remains inconsistent. We argue that this inconsistency partly reflects a neglected feature of...

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Jo(sephine) Lukito @jolukito.bsky.social · 06/06/2026

At #ICA26, I mentioned in a panel on (late stage) ECRs that the more we share and build solidarity, the stronger we are as a community. In that spirit, I've shared job market materials from myself and others (w/ consent). I'm doing so again in case it is helpful: drive.google.com/drive/folder...

drive.google.com

Google Drive: Sign-in

Access Google Drive with a Google account (for personal use) or Google Workspace account (for business use).

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Maria Leonor Pacheco @mlpacheco.bsky.social · 28/05/2026

I'll be presenting my student Chloe's @chloenlp.bsky.social work constructing a dataset of YouTube channels and their historical subscribers counts today at ICWSM. 3:30 pm poster session, 4 pm session. We have a pip package! github.com/blast-cu/tub...

ojs.aaai.org

TubeCensus: A Transparent, Replicable, and Large-Scale Census of YouTube Channels and their Subscriber Counts Over Time | Proceedings of the International AAAI Conference on Web and Social M...

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Julia Mendelsohn @jmendelsohn2.bsky.social · 26/05/2026

I'm at #ICWSM2026 this week! Thursday evening, my student Liancheng (Krystal) Gong will be presenting her paper, "The Limits of De-Politicizing–and Also of Annotation: A Case Study in Russian Media Outlets’ Social Media Posts, 2016–2024" (Link: ojs.aaai.org/index.php/IC...)

ojs.aaai.org

The Limits of De-Politicizing–and Also of Annotation: A Case Study in Russian Media Outlets’ Social Media Posts, 2016–2024 | Proceedings of the International AAAI Conference on Web and Socia...

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Anjalie Field @anjalief.bsky.social · 20/05/2026

New preprint and dataset, work led by talented PhD student Jonathan Ivey! There's lots of interest in using LLMs to conduct qualitative interviews, but we don't know if they work because we don't know what makes "good" interview. We analyze 16,940 responses across 343 interviews and find:

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Hannah Waight @hwaight.bsky.social · 13/05/2026

I’m excited to share a new paper in Nature that shows how large language models launder the strategic rhetoric of authoritarian states. Paper here: www.nature.com/articles/s41.... A thread.

nature.com

State media control influences large language models - Nature

Government-controlled media influences the output of large language models via their training data, and models queried in the languages of countries with lower media freedom show a stronger ...

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Rohan @rohandas.net · 11/05/2026

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

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EACL 2027 @eaclmeeting.bsky.social · 04/05/2026

Attention #NLProc researchers, the EACL 2027 website is officially LIVE: 2027.eacl.org! 🎉 🇬🇷 Join us in Athens, Greece (Mar 9-13, 2027) at #EACL2027 📅 ARR submission deadline: Aug 6, 2026. Open to all areas of CL/NLP + related fields. Stay tuned for the detailed CfP soon!

Picture of the Acropolis in Athens, Greece

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icwsm.bsky.social @icwsm.bsky.social · 15/04/2026

🚨 Big news! #ICWSM '27 is heading to Edinburgh, Scotland 🏰 More details on dates and venue coming soon ✨ ❗How submissions work: • May 15, 2026: accept (→ ICWSM '27), R&R → Sept '26 • Sept 15, 2026: accept (→ ICWSM '27), R&R → Jan '27 • Jan 15, 2027: accept (→ ICWSM '27), R&R → May '27 (→ ICWSM '28)

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Maria Antoniak @mariaa.bsky.social · 15/04/2026

I'll be at #ICML2026 on July 10-11 in Seoul to speak at the Workshop on Culture x AI: Evaluating AI as a Cultural Technology. The workshop is currently accepting submissions, with humanities, ML, HCI, and social/cognitive sciences all welcome. Submit papers by May 1! Join us in Seoul! 🇰🇷

doingaidifferently.org

Doing AI Differently | Culture × AI Workshop

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UMD Language Science Center @umd-lsc.bsky.social · 09/04/2026

Hear from Julia Mendelsohn at our upcoming hybrid Language and Conflict Panel, hosted by the LSC, Baha'i Chair for World Peace, and College of Behavioral & Social Sciences 🗣️ Visit go.umd.edu/lcpanel to register and learn more.

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nlpandcss.bsky.social @nlpandcss.bsky.social · 06/04/2026

To accommodate ACL decisions, we are further extending the commitment deadline for pre-reviewed ARR submissions to April 7!

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alice e marwick @alicetiara.bsky.social · 06/04/2026

🚨NEW DISINFO PAPER🚨 TLDR; disinformation circulates as narratives, not false facts. This paper took five years (!!!) and a rotating cast of collaborators and GRAs. Our case studies include the pee tape, and we have an entire appendix justifying that. www.tandfonline.com/doi/full/10....

tandfonline.com

Disinformation as Cultural Narrative: Conceptualizing Disinformation as Cross-Platform, Identity-Affirming, Cathartic Stories

Rather than framing disinformation as false facts which can be countered by true facts, we propose a model of disinformation as narrative by tracing three case studies of successful disinformation ...

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David Lazer @davidlazer.bsky.social · 06/04/2026

The deadline for submission to the Political Networks conference is this Friday. It's taking place Aug 4-7, in Manchester. sites.google.com/view/confpol...

sites.google.com

2026 Manchester

Application and registration

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ACL 2027 @aclmeeting.bsky.social · 06/04/2026

The paper acceptance notifications will be out by the 6th of April, AoE. The PCs are working hard throughout the holiday season to finalize the decisions. Apologies for the delay!

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Lucy Li @lucy3.bsky.social · 31/03/2026

Another one of @ahalterman.bsky.social and @katakeith.bsky.social's papers that I think should be cited more by CSS researchers: What is a protest anyway? Codebook conceptualization is still a first-order concern in LLM-era classification arxiv.org/abs/2510.03541

arxiv.org

What is a protest anyway? Codebook conceptualization is still a first-order concern in LLM-era classification

Generative large language models (LLMs) are now used extensively for text classification in computational social science (CSS). In this work, focus on the steps before and after LLM prompting -- conce...

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Brendan Nyhan @brendannyhan.bsky.social · 30/03/2026

Updated versions of my misinformation and experiments course syllabi now posted: Political Misinformation and Conspiracy Theories sites.dartmouth.edu/nyhan/files/... Experiments in Politics sites.dartmouth.edu/nyhan/files/...

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Étienne Ollion @eollion.bsky.social · 30/03/2026

3-year contract for a Phd position in Sociology on the discourse of/about AI, at l'Institut polytechnique de Paris.

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Digital Democracy Centre @ddc-sdu.bsky.social · 26/03/2026

📄 DDC PUBLICATION UPDATE 📄 In her first official SDU & Digital Democracy Centre-affiliated publication, Josephine Lukito (@jolukito.bsky.social) & her co-authors link sales to conspiracy content data to show which topics predict next-day sales on the website Infowars. ...

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Naomi Baes @naomibaes.bsky.social · 28/03/2026

Grateful to my co-author Nick Haslam for his collaboration and support. Paper: aclanthology.org/2026.lchange... Slides: www.changeiskey.org/event/2026-e... #LanguageChange #LexicalSemanticChange #SemanticChange #WSD #WordSenseDisambiguation #DiachronicNLP #HistoricalNLP #CorpusLinguistics #NLP 4/

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Mor Naaman @informor.bsky.social · 27/03/2026

Like every year around PhD decision time, here is a PhD syllabus I wrote to demystify and clarify what to expect from the PhD for students in my lab. It may be helpful for others making their decisions: it's not the same everywhere, but can tell you what q's to ask. s.tech.cornell.edu/phd-syllabus/

s.tech.cornell.edu

Mor Naaman / Lab PhD Syllabus

Syllabus for PhD students working in my group

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Gabriella Lapesa @gabriellalapesa.bsky.social · 24/03/2026

Friday, 27.03, poster session 6 at 11.00, Julia Romberg will present her (with collaborators) community survey on Active Learning: aclanthology.org/2026.eacl-lo... Data: search.gesis.org/research_data/SDN-10.7802-2990

aclanthology.org

Reassessing Active Learning Adoption in Contemporary NLP: A Community Survey

Julia Romberg, Christopher Schröder, Julius Gonsior, Katrin Tomanek, Fredrik Olsson. Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics (Volume...

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Gabriella Lapesa @gabriellalapesa.bsky.social · 24/03/2026

Tomorrow, 25.03, demo session at 16.30, @mmmaurer.bsky.social will present his package for the extraction of linguistic features from text: aclanthology.org/2026.eacl-demo.5/ Check the package on the @gesis.org #MethodsHub , too! methodshub.gesis.org/library/methods/elfen/1/

methodshub.gesis.org

ELFEN - Efficient Linguistic Feature Extraction for Natural Language Datasets - Methods Hub - GESIS

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Gabriella Lapesa @gabriellalapesa.bsky.social · 24/03/2026

You are #EACL2026? Check out some great work from the CSS Department @gesis.org, our data Science Methods team, with great collaborators!

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Luca Maria Aiello @lajello.bsky.social · 25/03/2026

Work with @andersgiovanni.com , @elisabassignana.bsky.social , @frapierri.bsky.social , @itu.dk Preprint: arxiv.org/abs/2603.19843 Blogpost: blog.andersgiovanni.com

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Luca Maria Aiello @lajello.bsky.social · 25/03/2026

AI can now answer questions about video content, transforming how people consume information on the Web. An experiment with 900+ participants found that AI improves speed and accuracy of retrieval BUT, users become overreliant on AI answers, accepting wrong answers without any loss of confidence.

A two barplots side by side.The left plot shows accuracy of information retrieval (y-axis, ranging from 0 to 100%) across three conditions (No AI, AI, and AI providing wrong answers). The right plot shows self-reported confidence in the answer correctness (y-axis, ranging from 0 to 5) across the same three conditions. Across the two plots, each condition contains two bars: one for users who watched the relevant segment of the video containing the answer to a question, and one for users who did NOT watch the segment. The plot conveys the following messages. 1) In the "No AI" condition, people who did not watch the video provide far less accurate responses. 2) In the "AI" condition, accuracy is high regardless of whether people watched the video or not. 3) in the "AI providing wrong answer" condition, accuracy drops to the minimum values for people who did not check the video. 4) Self-reported confidence in the answers is always high across all conditions, with just a tiny difference between the watched vs. non-watched scenarios

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Sagar Kumar @diesagar.bsky.social · 25/03/2026

Are our evaluations actually measuring any stable properties of LLMs? 🧵

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Debora Nozza @deboranozza.bsky.social · 25/03/2026

Thinking of applying for an #MSCA Postdoctoral Fellowship in 2026? I’m open to supervising at Bocconi! Feel free to reach out. By submitting an expression of interest to Bocconi, selected applicants will receive full proposal support. 🗓️ Deadline: April 15 👉 www.unibocconi.it/en/horizon-e...

unibocconi.it

Horizon Europe - Marie Skłodowska-Curie Actions Postdoctoral Fellowships 2026 - Bocconi University

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Katelyn Mei @katelynxmei.bsky.social · 17/03/2026

🚨🎉Excited to announce that our paper “Grok in the Wild: Characterizing the Roles and Uses of Large Language Models on Social Media” is accepted at @icwsm.bsky.social 2026! In this paper, we investigate how, when, and to what effect Grok is used on X.

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Kevin Yang @yang3kc.bsky.social · 17/03/2026

ICYMI. Website: cy-soc.github.io/2026/ Submission site: easychair.org/conferences?...

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