IC2S2 .IC2S2 Excited to announce that our tutorial "Exploring Emerging Social Media" is part of #IC2S2 2024! 🌐 Thanks Observatory on Social Media Kevin Yang wanying.zhao Bao Truong. See you there! More info coming soon.

Emergence of simple and complex contagion dynamics from weighted belief networks | Science Advances science.org/doi/10.1126/sc… Awesome work led by Rachith Aiyappa 👏👏

Excited to share our latest work, "Symmetry breaking in optimal transport networks," just out in @Naturecomms! 🚀 This was a fantastic collaboration with Filippo Radicchi, kho santo, Şirag Erkol, and Marc. Here's a short thread summarizing our main findings! 1/8

Misinformation posted to Twitter comes from 'superspreader' accounts, say researchers, amid warnings for future of content moderation on X Reporting on latest paper w/Matthew DeVerna Rachith Aiyappa Diogo Pacheco John Bryden 🧪 doi.org/10.1371/journa… abc.net.au/news/2024-05-2…

A lot has happened over the past couple of months... 🚀 ICYMI, our paper "Identifying and characterizing superspreaders of low credibility content on Twitter" was published in @PLOSOne (open access link below)! 1/8

📢 If you are at @ic2s2, join us for our tutorial “Exploring Emerging Social Media: Acquiring, Processing, and Visualizing Data with Python and OSoMe Web Tools.” 📅 Time: 9 AM – 12:30 PM 📍Location: Irvine: Amado Recital Hall ℹ️Details: osome.iu.edu/events/ic2s2-2… 1/2

This looks like a rap album cover 😂

#sicss and #ic2s2 wrapped! Been an amazing 2 weeks at Penn. It was a great pleasure meeting people from different in fields, learning about all the cool work in the CSS space, finally meeting collaborators in flesh, hosting a tutorial with my colleagues and presenting my work 🤩

I will be adding a session for Background/Keyword/Problem in my future posters — found it super helpful to get a quick grasp of a work & spark conversations. Some examples from #ic2s2 Last one is an amazing work by Arianna Pera and Luca Maria Aiello (lajello.bsky.social)

Our latest PNAS Nexus paper compares harms when fake accts infiltrate communities, flood the network, & target individuals: Quantifying the vulnerabilities of the online public square to adversarial manipulation tactics doi.org/10.1093/pnasne… 🧪w/Bao Truong X Lou, A Flammini

AI search engines use LLMs to summarize results for you, but can LLMs discern low-credibility sources from credible ones? Our paper measures the accuracy of LLMs' credibility ratings on news sources and political biases. With Observatory on Social Media 🔗arxiv.org/abs/2304.00228 1/9

OSoMe Awesome Speakers returns next week! We're starting off strong with a talk from Josephine (Jo) Lukito, "Challenges and Solutions for Multi-Platform Studies of Election Discourse" Register here: iu.zoom.us/meeting/regist…

Our letter & accompanying news article + editorial in Science Magazine question the unwarranted conclusion generally drawn by the media and science community (as well as Meta) about a positive role of the Facebook ranking algorithm on misinformation 🧪 Details in the 🧵 below...

Our new working paper shows how a single choice by many social media platforms—to treat all resharing as if from the original poster—can drastically reshape our understanding of the social dynamics on those platforms. doi.org/10.48550/arXiv…

Out now in PNAS and led by the amazing Mubashir with a great team from Center for Adaptive Rationality (MPIB, Berlin) Max Planck Institute for Human Development, our systematic meta-analysis of individual factors for misinformation susceptibility: pnas.org/doi/10.1073/pn…

New paper in PNAS: Fact-checking information from large language models can decrease headline discernment What are the unintended consequences of AI fact-checking? Even LLMs that accurately identify false headlines can actually cause harm. doi.org/10.1073/pnas.2…

🚨Our new paper is on arXiv! We’re excited to share 26 state-backed information operation (IO) datasets, each paired with a robust control set of 13M+ posts in total from non-IO accounts. You can reach the dataset here: zenodo.org/records/141891… ...

New preprint! 🚀 We looked into the rise of Bluesky and found that this platform is definitely sticking around 🚀 Huge kudos to my amazing co-authors for digging through nearly two years of all Bluesky data!

Our team just launched three new tools to help you explore social media data: 🌉NewsBridge – Adds AI-powered context to Facebook posts 🔎Barney’s Tavern – Search 34B social media posts 🌎OSoMeNet – Visualize how info spreads across platforms osome.iu.edu/research/blog/…