A pre-registered experiment finds that adding a personalized, factually grounded LLM to an online discussion moves individuals' beliefs toward the truth and makes them build more accurate social networks.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.SI 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
Personalized Large Language Models Can Increase the Belief Accuracy of Social Networks
A pre-registered experiment finds that adding a personalized, factually grounded LLM to an online discussion moves individuals' beliefs toward the truth and makes them build more accurate social networks.