Replication Data for: Measuring the Factual Trustworthiness of Large Language Models: A Quantitative Audit of ESG Claim Verification

Harvard Dataverse 2026 Dataset Open access

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Authors: Adam Wasilewski
DOI: 10.7910/dvn/ldrjkl
Cited by: 0

Abstract

Replication Data for manuscript: Measuring the Factual Trustworthiness of Large Language Models: A Quantitative Audit of ESG Claim Verification 1. Raw dataset 2. Pre-processed dataset 3. Code for data processing

Fields of Study & Subjects

Ethics and Social Impacts of AI Misinformation and Its Impacts Topic Modeling

Publication details

Journal / source
Harvard Dataverse
Publication date
11 March 2026
Language
EN
Document type
Dataset