Kobi Hackenburg
@kobihackenburg.bsky.social
data science + political communication @oiioxford @uniofoxford
Pinned
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!
🧵:
We examine “levers” of AI persuasion: model scale, post-training, prompting, personalization, & more!
🧵:
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!
🧵:
We examine “levers” of AI persuasion: model scale, post-training, prompting, personalization, & more!
🧵:
July 21, 2025 at 4:20 PM
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!
🧵:
We examine “levers” of AI persuasion: model scale, post-training, prompting, personalization, & more!
🧵:
📈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.
🧵:
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.
🧵:
March 7, 2025 at 6:28 PM
📈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.
🧵:
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.
🧵:
Reposted by Kobi Hackenburg
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 👇
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 👇
February 13, 2025 at 2:08 PM
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 👇
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 👇
Reposted by Kobi Hackenburg
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!
November 19, 2024 at 2:29 AM
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!
Reposted by Kobi Hackenburg
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
February 1, 2024 at 6:09 PM
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