Hamza Alshamy
@alshamyhamza.bsky.social
@NYU Center for Data Science | At the intersection of Machine Learning and Computational Social Science
https://hamzaalshamy.github.io/
https://hamzaalshamy.github.io/
Reposted by Hamza Alshamy
🚨 New preprint 🚨
Across 3 experiments (n = 3,285), we found that interacting with sycophantic (or overly agreeable) AI chatbots entrenched attitudes and led to inflated self-perceptions.
Yet, people preferred sycophantic chatbots and viewed them as unbiased!
osf.io/preprints/ps...
Thread 🧵
Across 3 experiments (n = 3,285), we found that interacting with sycophantic (or overly agreeable) AI chatbots entrenched attitudes and led to inflated self-perceptions.
Yet, people preferred sycophantic chatbots and viewed them as unbiased!
osf.io/preprints/ps...
Thread 🧵
October 1, 2025 at 3:16 PM
🚨 New preprint 🚨
Across 3 experiments (n = 3,285), we found that interacting with sycophantic (or overly agreeable) AI chatbots entrenched attitudes and led to inflated self-perceptions.
Yet, people preferred sycophantic chatbots and viewed them as unbiased!
osf.io/preprints/ps...
Thread 🧵
Across 3 experiments (n = 3,285), we found that interacting with sycophantic (or overly agreeable) AI chatbots entrenched attitudes and led to inflated self-perceptions.
Yet, people preferred sycophantic chatbots and viewed them as unbiased!
osf.io/preprints/ps...
Thread 🧵
Reposted by Hamza Alshamy
Our new paper finds that AI can overcome partisan #bias
We find that AI sources are preferred over ingroup and outgroup sources--even when people know both are equally accurate (N = 1,600+): osf.io/preprints/ps...
We find that AI sources are preferred over ingroup and outgroup sources--even when people know both are equally accurate (N = 1,600+): osf.io/preprints/ps...
September 30, 2025 at 1:13 PM
Our new paper finds that AI can overcome partisan #bias
We find that AI sources are preferred over ingroup and outgroup sources--even when people know both are equally accurate (N = 1,600+): osf.io/preprints/ps...
We find that AI sources are preferred over ingroup and outgroup sources--even when people know both are equally accurate (N = 1,600+): osf.io/preprints/ps...