We know that LLMs are more persuasive than most humans, this study offers some tentative reasons why that may be true: LLMs produce arguments that are MORE morallly charged than humans do, and which require more cognitive work from humans to understand arxiv.org/pdf/2404.09329…

In a new correspondence in nature, I argue that regulations should mandate data access for social media researchers: nature.com/articles/d4158…

Today, I’m excited to share with you all the fruit of our effort at OpenAI to create AI models capable of truly general reasoning: OpenAI's new o1 model series! (aka 🍓) Let me explain 🧵 1/

ONLINE FIRST! What are the key #COVID19 topics that receive focus from reliable sources & misinformation sources? How do these topics & their importance evolve over time? Carlos Carrasco-Farré, PhD (TBS Education) explores these questions in his new research. Learn more: journals.sagepub.com/doi/abs/10.117…

An analysis of 579,182,075 posts on Facebook & Twitter/X finds social media users are 1.91X more likely to share negative news--especially articles referring to opposing political groups This replicates papers finding negativity bias & outgroup animosity!

ONLINE FIRST! What are the key #COVID19 topics that receive focus from reliable sources & misinformation sources? How do these topics & their importance evolve over time? Carlos Carrasco-Farré, PhD (TBS Education) explores these questions in his new research. Learn more: journals.sagepub.com/doi/abs/10.117…

PLOS ONE: Structure matters: Assessing the statistical significance of network topologies journals.plos.org/plosone/articl…

I'm excited to announce that I’ve joined the PLOS One Editorial Board! I’m welcoming submissions on topics like misinformation, large language models (LLMs), and the societal impact of AI. If you're working on these areas, I’d love to see your work: journals.plos.org/plosone/browse…

We all want the world to know our theories on human-AI interactions, but what the world actually needs is more empirical papers and meta-analyses like this great paper. Human-AI systems performed significantly worse than the best of either humans or AI. nature.com/articles/s4156…

New paper out in Science Magazine! In 8 studies (multiple platforms, methods, time periods) we find: misinformation evokes more outrage than trustworthy news, when it does it's shared more + ppl are less likely to read before sharing. w/ Killian McLoughlin Kate Klonick M.J. Crockett 🧵👇

💻En debates online, GPT-4 puede ser más persuasivo que las personas 🗨️Carlos Carrasco-Farré, PhD: "Así como en su día se reguló la publicidad dirigida, quizás haya llegado el momento de pensar en acciones para controlar la persuasión algorítmica" sciencemediacentre.es/en-debates-onl…