Happy to announce the 2nd edition of our Summer School in Computational Social Science that will take place in the beautiful Villa del Grumello on Lake Como between June 22-26, 2026!
*** DEADLINE FOR APPLICATION: February 15, 2026 (firm deadline) ***
More details here:
css2.lakecomoschool.org
For those of you who missed it, the recording of Petter Törnberg's talk is now available!
Huge thanks to my collaborators Arthur D. Soto-Vásquez, Ph.D., Maria Montenegro, Ph.D., and Danny Valdez, Ph.D. for their support.
📄 Read the full paper: lnkd.in/gCauNwFS
💬 Questions or thoughts? Reach out via DM or email: rasimura@iu.edu
👍 Engagement patterns differ across languages, revealing distinct communication ecosystems. More qualitative research is needed to understand how health info spreads in Spanish-speaking communities and how local institutions shape public health messages online. #BreastCancer #HealthComms
🤷♂️ Spanish-language posts mainly come from local governments, media, and municipalities. Many promote at-home self-exams—no longer recommended in the U.S. Most engagement comes from health sites, politicians, and local reps, showing distinct voices shaping Spanish-language breast cancer discourse.
🧩 English-language posts are mostly from major non-profits like Susan G. Komen and the National Breast Cancer Alliance. These groups lead awareness efforts, driving engagement through strong branding and messages focused on screening, survivorship, and fundraising in the U.S. #BreastCancer
🧠 Findings:
💭English and Spanish language content centered on similar topics—mammography, breast cancer awareness events, Pink Ribbon Month, and personal narratives.
⚙️ We employed topic modeling to identify clusters of topics discussed in Facebook posts related to breast cancer. Metadata analysis was then used to determine the primary sources of content and the types of posts that received the most engagement.
📜 New paper alert!
Paper Link: lnkd.in/gCauNwFS
🔎 In this study, we explore the differences in English and Spanish language content of Breast Cancer on Facebook.
Work!! 🚨
We are looking for a #postdoc in our AI, media and Democracy Lab @aimediademlab.bsky.social
Dynamic position, great team, nice colleagues 💥
Profile: communication/ poli sci/ computational social sci
🗓️ DL November 1
Spread the word 📣
werkenbij.uva.nl/en/vacancies...
Big shoutout to my advisors: @haewoon.bsky.social @jisunan.bsky.social for their guidance and support on this project!
📄 Paper link: arxiv.org/pdf/2510.07488
🔮 As LLMs evolve from individual tools to collaborative agents, understanding their team dynamics becomes essential.
Applying team science offers a powerful lens for designing AI systems that collaborate effectively, leverage diversity, and adapt like human teams do.
🧠 Key findings
🧩 Agents tend to overestimate team performance before the task; post-task reflections surface misalignment and integration difficulties.
🧑⚖️ Evaluations via GPT-4o (“LLM-as-a-judge”) agree that flat teams score better in comprehension, coherence, reasoning, and confidence.
🧠 Key findings
⚖️ Flat (decentralized) teams often outperform hierarchical ones on reasoning tasks.
⚔️ Diversity is a double-edged sword: it can enrich reasoning in some settings, but also introduce coordination friction especially under hierarchical structure.
We designed flat and hierarchical teams of LLM agents, assigning them personas (e.g. demographics) to inject controlled diversity. These teams were tested on reasoning and social reasoning tasks. We combined quantitative performance evaluation + qualitative analysis to analyze interaction dynamics
New preprint! 🚀 We ask: What happens when you bring human team science into the design of multi-agent LLM systems? In particular, how do team structure, diversity, and interaction dynamics influence how AI agents collaborate?
📄Full Paper: arxiv.org/pdf/2510.07488
👩💻Code: github.com/Rasikamurali...
New jobs for computational social scientists at UNC and USC: unc.peopleadmin.com/postings/307... amd uscjobs.sc.edu/postings/194...
Patrick Warren OSoMe Awsome Speaker
🚨 First OSoMe Awesome Speaker of the year! 🚨
📅 Sept 12 | 12pm ET
🎤 Patrick Warren (Clemson University)
📍 Zoom
Measuring the Impact of a Large State-Sponsored Narrative-Laundering Campaign: The case of the Storm-1516 attack on Zelensky
🔗 Register: iu.zoom.us/meeting/regi...
In Norrköping, Sweden for #IC2S2!
Excited to present my collaborative work with @baottruong.bsky.social and @yyahn.bsky.social!
🔎 Where to find us:
Scaling of Community Rules Across Mastodon Servers
🚨 Parallel Talk- Social Media & Networks| Jul 24, 11 AM | Vingen 3&4
So about ten years ago I found a small network of bots on Reddit dedicated to spreading hate. The thing about it is that these weren't even responding to political topics - they were just responding to random keywords with insults and hate.
The same bots are now here. You should understand why. 🧵
