New research reveals a troubling paradox: fact-checking demonstrably improves belief accuracy, yet can simultaneously reduce overall social welfare through controversy costs. This analysis explores the implications for information policy and democratic discourse.
Climate+Tech FactChecker takes a major step toward democratizing climate fact-checking by integrating Ollama, enabling deployment of powerful open source language models for transparent and customizable verification of climate claims.
Building a collaborative research community to advance AI-powered climate and political fact-checking through interdisciplinary partnerships and open science.
An insightful look into how corporate lobbying activities influence climate change mitigation efforts, revealing the dichotomy between public commitments and actual lobbying practices.
This summary highlights the paper's exploration into improving LLMs for evidence-based question-answering by fine-tuning on synthetic data refined with quality filters.
A comprehensive overview of the Climinator tool, designed to automate the fact-checking of climate change claims using Large Language Models (LLMs).
