Francesco Pierri

@frapierri.bsky.social

Assistant Professor at Politecnico di Milano. Capoeira at Sul Da Bahia Milano.

We have designated ChatGPT as a Very Large Online Search Engine and Reddit and Roblox as Very Large Online Platforms under the Digital Services Act. They now have four months to comply with additional DSA obligations. #DSA

โ€œGraphic with a purple background and yellow EU stars. Text reads: โ€˜ChatGPT, Reddit and Roblox designated under the Digital Services Act.โ€™ The European Commission logo appears in the bottom right.โ€

Super excited to present our work at #ACL2026 โœจ ๐Ÿ‘‰ LLM-based social simulations have lots of analytic flexibilityโ€”response generation methods are often overlooked ๐Ÿ“Tue July 7, 9am, Poster Session F

Georg Ahnert@ahnert.eurosky.social ยท 5mo ago

Thrilled to share that our paper with @carohaensch.bsky.social, @barbaraplank.bsky.social & @mstrohm.bsky.social has been accepted to #ACL2026 Main! How to generate closed-ended survey responses ๐Ÿ“Š with LLMs trained to produce open-ended text? ๐Ÿ“ We show results from 32 mio. simulated responsesโ€ฆ ๐Ÿงต

A scientific paper titled "Survey Response Generation: Generating Closed-Ended Survey Responses In-Silico with Large Language Models", written by Georg Ahnert, Anna-Carolina Haensch, Barbara Plank, and Markus Strohmaier. Additionally, a central figure of the paper with specification curves is shown.

๐Ÿ”ˆ CS2Italy has been officially opened by @ccattuto.bsky.social at OGR Torino ๐Ÿ”น AI and human behavior ๐Ÿ”น Social and information networks ๐Ÿ”น Urban science and mobility ๐Ÿ”น Misinformation and digital platforms ๐Ÿ”น Inequality, cooperation, and collective behavior ๐Ÿ”น Science and society in the age of AI

Bild

๐Ÿ“ขโš ๏ธ IMPORTANT DATE CORRECTION: the ARR deadline for EACL 2027 is Aug 3, 2026 (not Aug 6 as previously announced). EACL is earlier than usual in '27, so this is the only viable ARR cycle! ๐Ÿ“š All areas of CL/NLP + related fields welcome. Full CfP coming soon. #NLProc #EACL2027

EACL 2027@eaclmeeting.bsky.social ยท 5mo ago

Attention #NLProc researchers, the EACL 2027 website is officially LIVE: 2027.eacl.org! ๐ŸŽ‰ ๐Ÿ‡ฌ๐Ÿ‡ท Join us in Athens, Greece (Mar 9-13, 2027) at #EACL2027 ๐Ÿ“… 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

I am looking for highly motivated candidates for ๐Ÿญ ๐—ณ๐˜‚๐—น๐—น๐˜†-๐—ณ๐˜‚๐—ป๐—ฑ๐—ฒ๐—ฑ ๐—ฃ๐—ต๐—— ๐—ฝ๐—ผ๐˜€๐—ถ๐˜๐—ถ๐—ผ๐—ป ๐—ฎ๐˜ ๐—ฃ๐—ผ๐—น๐—ถ๐˜๐—ฒ๐—ฐ๐—ป๐—ถ๐—ฐ๐—ผ ๐—ฑ๐—ถ ๐— ๐—ถ๐—น๐—ฎ๐—ป๐—ผ, focusing on ๐—ฅ๐—ฒ๐˜€๐—ฝ๐—ผ๐—ป๐˜€๐—ถ๐—ฏ๐—น๐—ฒ ๐—”๐—œ ๐—ฎ๐—ป๐—ฑ ๐—–๐—ผ๐—บ๐—ฝ๐˜‚๐˜๐—ฎ๐˜๐—ถ๐—ผ๐—ป๐—ฎ๐—น ๐—ฆ๐—ผ๐—ฐ๐—ถ๐—ฎ๐—น ๐—ฆ๐—ฐ๐—ถ๐—ฒ๐—ป๐—ฐ๐—ฒ. Please share with potentially interested candidates.

ELLIS@ellis.eu ยท 5mo ago

๐Ÿน Job alert: PhD position in Responsible AI/Computational Social Science at Politecnico di Milano ๐Ÿ“ Milan ๐Ÿ‡ฎ๐Ÿ‡น ๐Ÿ”— bit.ly/4dUbC4i

LLMs are reshaping how we process information, now even processing videos for us. In a study with 900+ participants, we found AI boosts efficiency and accuracy, but also drives overreliance. So the real question: how much of our access to information are we willing to outsource to LLMs?

Luca Maria Aiello@lajello.bsky.social ยท 6mo ago

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

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

๐Ÿš€Introducing ๐†๐”๐ˆ๐ƒ๐„-๐‹๐‹๐Œ: A reporting checklist for using LLMs in behavioral & social science โœ…GUIDE-LLM is a reporting checklist designed by 80+ experts to improve transparency, reproducibility & ethical accountability of LLM-based research ๐Ÿ“„ llm-checklist.com

GUIDE-LLM

Reporting Checklist for Studies with Large Language Models in the Behavioral and Social Sciences

llm-checklist.com

I'm organizing a Research with AI Agents Workshop Series, inviting colleagues and friends who have been actively exploring the application of AI agents to share how they're using them in their work and research. The first talk will feature Dr. Yanbo Zhang. See abstract and bio below. 1/2

Bild

โ—Just a bit less than 4 weeks left for the Adamic-Glance Award's nominations! If you are or you know an early-career researcher who has made innovative and impactful contributions to social computing and computational social science, please consider this great opportunity โญ๏ธ

icwsm.bsky.social@icwsm.bsky.social ยท 7mo ago

The #ICWSM 2026 Adamic-Glance Distinguished Young Researcher Award is now accepting nominations and self-nominations! ๐Ÿ“… Deadline for this year's award: March 15th, 2026. Don't miss out on this great opportunity! More info: icwsm.org/2026/submit....