🚨 New preprint alert: We show that web-browsing GPT and LLaMA models can infer social media user demographics with reasonable accuracy—using only usernames. This opens new possibilities for social media research in the post-API era but raises important privacy concerns.

✨ New LLM paper ✨ > Open-source LLMs perform well in text annotation tasks > Fine-tuned open-source LLMs outperform zero-shot GPT-4 > Fine-tuning beats few-shot training with modest amount of annotated data w/ @malizadeh.bsky.social @maelkubli.bsky.social et al. link.springer.com/article/10.1...

Want to see if your research has had an impact on public policy? Enter your info in SagePolicyProfiles to see the citations of your own publications in policy documents. You get a profile page. Here is mine as an example: policyprofiles.sagepub.com/profile/5920...

"We find that sustained negative coverage significantly predicts changes to platforms’ user policies, highlighting the role of public pressure in shaping the governance of online platforms." by @emmahoes.bsky.social @klueserthan.bsky.social @maelkubli.bsky.social @malizadeh.bsky.social et al.

"we present FreshPrompt, a simple few-shot prompting method that substantially boosts the performance of an LLM on FreshQA by incorporating relevant and up-to-date information retrieved from a search engine into the prompt." via @malizadeh.bsky.social

Check out the program of the 2023 Digital Democracy Workshop, Oct 26-27, University of Zurich Keynote by Atoosa Kasirzadeh: "Can we reconcile the governmental use of online targeting with democracy?" Free attendance, registration required polisky commsky cssky