#IC2S2'23 BONUS EVENT 😎 "Too Lazy to Read the Paper" LIVE on July 19, 1300-1400 In this "Extravaganza" edition of his 5star⭐️ podcast series, @suneman will host 3superstars💫 of the Computational Social Science community Maximilian Schich | @schichmax.bsky.social Claudia Wagner and Duncan Watts See you there!

A taxonomy of 217 dream topics and their shifts during COVID19 and the war in Ukraine. A large-scale NLP study on 44k dream reports from Reddit r/dreams. New preprint from our dreams research series arxiv.org/abs/2307.04167, soon at #IC2S2! #dreams #NLP #UkraineWar #covid19

IC2S2 2024 will be hosted at Penn, in the beautiful and vibrant Philadelphia! Xi Song Dan Hopkins #IC2S2.

Measuring behavior change from social media is key to understand how online interactions can promote positive practices. We surveyed the behaviors and observational techniques that researchers have used so far to capture behavior change online: arxiv.org/abs/2310.19951

Our study on the Twitter Migration to Mastodon is now out on Scientific Reports! The Migration is a unique example of collective behavioral change documented through large-scale digital traces. It taught us a little about how people coordinate. Blogpost: t.ly/zz0jA

📢🚨 Our study on the #TwitterMigration to #Mastodon is out now on Scientific Reports! ✍🏼Blogpost: communities.springernature.com/posts/get-out-… 📚Paper: nature.com/articles/s4159… 🔬The migration represents a unique example of collective behavioral change documented through large-scale digital traces.

Shifting from YouTube to TikTok, content creators amplify emotional and action language when talking about climate change 📢: tailored communication is the key to steering the climate conversation ⛈️🔥 Check the new pre-print with Luca Maria Aiello (lajello.bsky.social): arxiv.org/abs/2312.04974

Video creators can steer the attention of crowds on critical issues like climate change. Understanding how this happens is crucial to refine communication strategies on climate action. New findings from a YouTube vs. TikTok comparison (thanks to the new TikTok Research API)

Can artificial agents interact with each other to reproduce human-like persuasive dialogue? And do the arguments they generate sound persuasive to humans? We used Llama2 to test different persuasion strategies, and asked humans to rate them. New on ArXiv: arxiv.org/abs/2312.15523

Ever wondered how storytelling fuels collective action on climate change?🌱 Check out the new pre-print with Luca Maria Aiello (lajello.bsky.social): we studied vegan narratives on YouTube and the emergence of collective signals in related reactions arxiv.org/abs/2401.09210

New preprint out! The causal role of the Reddit collective action on the GameStop short squeeze. Great work by Antonio Desiderio, with Luca Maria Aiello (lajello.bsky.social) and Laura Alessandretti arxiv.org/abs/2401.14999

📣 Doing computational research on how we form opinions on climate change? How does climate awareness spread? When does communication bring change? Have some early results to present, or published work to discuss? Join our NO CAPS workshop at ICWSM! 👉 no-caps.github.io/2024/

Had a wonderful week in Turin with Arianna Pera and Luca Maria Aiello (lajello.bsky.social), visiting CENTAI (Center for AI) & ISI Foundation. 🇮🇹🍝 We had the chance to present our work on the COCOONS project and got some really thoughtful feedback. 🙌🏼 @nerdsitu Carlsbergfondet #COCOONS

Last week Anders Giovanni Møller, Luca Maria Aiello (lajello.bsky.social), and I had the pleasure of visiting CENTAI (Center for AI) and ISI Foundation to showcase our latest work on the cocoons_dk project 🌎 Grateful for the valuable feedback and stimulating discussions! Thanks to all for the warm hospitality 🇮🇹

🚨 Our paper "The Persuasive Power of Large Language Models" has been accepted to ICWSM 🚨 📖 Check out the pre-print (arxiv.org/abs/2312.15523) or this small post for more details (andersgiovanni.com/blog/post-5-ic…). See you in Buffalo 🇺🇸✌🏼 #icwsm @nerdsitu cocoons_dk Carlsbergfondet

Testing LLMs in Game Theory experiments reveals their moral biases as social agents -- useful to inform alignment. Llama2 playing Prisoner's Dilemma is more forgiving and non-retaliatory than humans, but only when the opponent defects rarely. New preprint: arxiv.org/abs/2406.13605

LLMs can leverage dimensions of social pragmatics to generate arguments that sound persuasive to humans, and that mimic human persuasion strategies. Anders Giovanni Møller presenting @ic2s2. Paper from #icwsm24 proceedings: arxiv.org/abs/2312.15523 #ic2s2

IC2S2 Day 1: fun and insightful poster session focusing on plant-based diets as a climate change mitigation strategy (paper: ojs.aaai.org/index.php/ICWS…) and post environmental disaster group dynamics on Reddit, in collaboration with Luca Maria Aiello (lajello.bsky.social) 🌱 #ic2s2 @nerdsitu cocoons_dk

New preprint: 𝗧𝗵𝗲 𝗗𝘆𝗻𝗮𝗺𝗶𝗰𝘀 𝗼𝗳 𝘀𝗼𝗰𝗶𝗮𝗹 𝗰𝗼𝗻𝘃𝗲𝗻𝘁𝗶𝗼𝗻𝘀 𝗶𝗻 𝗟𝗟𝗠 𝗽𝗼𝗽𝘂𝗹𝗮𝘁𝗶𝗼𝗻𝘀: 𝗦𝗽𝗼𝗻𝘁𝗮𝗻𝗲𝗼𝘂𝘀 𝗲𝗺𝗲𝗿𝗴𝗲𝗻𝗰𝗲, 𝗰𝗼𝗹𝗹𝗲𝗰𝘁𝗶𝘃𝗲 𝗯𝗶𝗮𝘀𝗲𝘀 𝗮𝗻𝗱 𝘁𝗶𝗽𝗽𝗶𝗻𝗴 𝗽𝗼𝗶𝗻𝘁𝘀 arxiv.org/pdf/2410.08948… 1/N

Seemingly unbiased LLMs exhibit "collective biases" when interacting with other agents. We ought to look at AI biases *within application contexts*, not simply by probing models in isolation. Great collab. with Ariel Flint Ashery 🧜‍♂️ and Andrea Baronchelli @nerdsitu ITUkbh Carlsbergfondet