2 papers
cs.SI2025
Personalized Large Language Models Can Increase the Belief Accuracy of Social Networks
Adiba Mahbub Proma, Neeley Pate, Sean Kelty +3
Large language models (LLMs) are increasingly involved in shaping public understanding on contested issues. This has led to substantial discussion about the potential of LLMs to re…
stat.OT2024
The Need for a Recurring Large-Scale Benchmarking Survey to Continually Evaluate Sampling Methods and Administration Modes: Lessons from the 2022 Collaborative Midterm Survey
Peter K. Enns, Colleen L. Barry, James N. Druckman +3
As survey methods adapt to technological and societal changes, a growing body of research seeks to understand the tradeoffs associated with various sampling methods and administrat…