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.
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.
> 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...
> 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...
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by @emmahoes.bsky.social @klueserthan.bsky.social @maelkubli.bsky.social @malizadeh.bsky.social et al.
by @emmahoes.bsky.social @klueserthan.bsky.social @maelkubli.bsky.social @malizadeh.bsky.social et al.
via @malizadeh.bsky.social
via @malizadeh.bsky.social
Keynote by Atoosa Kasirzadeh: "Can we reconcile the governmental use of online targeting with democracy?"
Free attendance, registration required
polisky commsky cssky
Keynote by Atoosa Kasirzadeh: "Can we reconcile the governmental use of online targeting with democracy?"
Free attendance, registration required
polisky commsky cssky