Believing the bot: examining what makes us trust large language models (LLMs) for political information

• Main Authors: Deng, Nicholas Yi Dar, Ong, Faith Jia Xuan, Lau, Dora Zi Cheng
• Other Authors: Saifuddin Ahmed
• Format: Final Year Project
• Language: English
• Published: Nanyang Technological University 2024
• Subjects: Arts and Humanities; Transparency; Trust; LLM; ChatGPT; Polarisation; AI; Republican; Democrat; Justification; Politics
• Online Access: https://hdl.handle.net/10356/174384
• Institution: Nanyang Technological University

Affective polarisation, the measure of hostility towards members of opposing political parties, has been widening divisions among Americans. Our research investigates the potential of Large Language Models (LLMs), with their unique ability to tailor responses to users' prompts in natural langua...