Kobi Hackenburg
@kobihackenburg.bsky.social
📤 346
📥 84
📝 31
data science + political communication @oiioxford @uniofoxford
pinned post!
Today (w/
@ox.ac.uk
@stanford @MIT @LSE) we’re sharing the results of the largest AI persuasion experiments to date: 76k participants, 19 LLMs, 707 political issues. We examine “levers” of AI persuasion: model scale, post-training, prompting, personalization, & more! 🧵:
2 months ago
10
106
73
Today (w/
@ox.ac.uk
@stanford @MIT @LSE) we’re sharing the results of the largest AI persuasion experiments to date: 76k participants, 19 LLMs, 707 political issues. We examine “levers” of AI persuasion: model scale, post-training, prompting, personalization, & more! 🧵:
2 months ago
10
106
73
📈Out today in @PNASNews!📈 In a large pre-registered experiment (n=25,982), we find evidence that scaling the size of LLMs yields sharply diminishing persuasive returns for static political messages. 🧵:
7 months ago
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23
reposted by
Kobi Hackenburg
Paul Röttger @ ACL
7 months ago
Are LLMs biased when they write about political issues? We just released IssueBench – the largest, most realistic benchmark of its kind – to answer this question more robustly than ever before. Long 🧵with spicy results 👇
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30
reposted by
Kobi Hackenburg
David Rand
10 months ago
Everyone going to SJDM this weekend, come to our special session on using
#LLMs
in
#JDM
research on Monday at 9:45am (location = Empire Complex)! w/
@kobihackenburg.bsky.social
Hope Schroeder and myself - presentations from us but also hopefully lots of discussion/Q&A with all of you!
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7
reposted by
Kobi Hackenburg
Ross Dahlke
over 1 year ago
Labeling misinformation as misleading and from fellow in-group members (e.g., dem/ rep) makes people less likely to share it, suggesting social identity is effective in mitigating misinfo, finds
@clarapretus.bsky.social
@kobihackenburg.bsky.social
@mtsakiris.bsky.social
@jayvanbavel.bsky.social
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