Description*:
Researching a Rigged Game: Open Source Data & the Trade of Cultural Objects, September 14 and 15, 2023. This YouTube video transcript presents a computational method for detecting potentially Nazi-looted art by analyzing the language used in artwork provenance records. The speaker, Laurel Zuckerman, explains how counting words indicating uncertainty, unreliability, and anonymity can reveal patterns suggestive of deception, drawing inspiration from her own experience with a family artwork. A software tool is demonstrated that allows users to upload provenance data and custom lists of keywords to quantify these indicators. While acknowledging limitations and the need for further research, the approach offers a scalable and objective way to prioritize artworks for closer scrutiny regarding their wartime history.
