Uncovering deep-rooted cultural differences (UNCOVER)

Aleksey Panasyuk; Bryan Li; Chris Callison-Burch

doi:10.1117/12.3012714

6 June 2024 Uncovering deep-rooted cultural differences (UNCOVER)

Aleksey Panasyuk, Bryan Li, Chris Callison-Burch

Proceedings Volume 13058, Disruptive Technologies in Information Sciences VIII; 130580Z (2024) https://doi.org/10.1117/12.3012714
Event: SPIE Defense + Commercial Sensing, 2024, National Harbor, Maryland, United States

Abstract

This study delves into the interconnected realms of Debates, Fake News, and Propaganda, with an emphasis on discerning prominent ideological underpinnings distinguishing Russian from English authors. Leveraging the advanced capabilities of Large Language Models (LLMs), particularly GPT-4, we process and analyze a large corpus of over 80,000 Wikipedia articles to unearth significant insights. Despite the inherent linguistic distinctions between Russian and English texts, our research highlights the adeptness of LLMs in bridging these variances. Our approach includes translation, question generation and answering, along with emotional analysis, to probe the gathered information. A ranking metric based on the emotional content is used to assess the impact of our approach. Furthermore, our research identifies important limitations within existing data resources for propaganda identification. To address these challenges and foster future research, we present a curated synthetic dataset designed to encompass a diverse spectrum of topics and achieve balance across various propaganda types.

Conference Presentation

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Aleksey Panasyuk, Bryan Li, and Chris Callison-Burch "Uncovering deep-rooted cultural differences (UNCOVER)", Proc. SPIE 13058, Disruptive Technologies in Information Sciences VIII, 130580Z (6 June 2024); https://doi.org/10.1117/12.3012714

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