The New Frontier of Text Analysis:

LLMs, Newspapers, and Cross-Disciplinary Research

Webinar: April 30, 2025
11:00 AM - 12:00 PM EDT

Across Social Sciences and Business Studies, a notable research trend is emerging: using Large Language Models to analyze newspaper content at unprecedented scale and depth. This webinar features four speakers from major research universities who have used TDM Studio and GPT LLMs as part of a recent pilot group.

Tasks that once required months of manual work — creating datasets, building research models, and costly annotation — can now be accomplished through LLMs' remarkable zero-shot capabilities. From Economics to Political Science to Marketing Studies, researchers are using these tools to extract sentiments, annotate articles, and understand complex relationships, dramatically lowering the expertise and resources needed for newspaper analysis.

Featured presentations include:
  • A data librarian's perspective on the evolution from basic content counting to complex relationship analysis
  • Research on how corporate brand news influences demand for companies like Coca-Cola
  • Analysis of how political polling discourse in newspapers influences voting behavior
  • Investigation into how inflation reporting impacts public perception and even pricing, such as the disappearance of NYC's $1 pizza slice

Part of the webinar will preview new features in TDM Studio, including GPT integrations. The session will include a demonstration of an upcoming, AI-powered TDM Research Assistant that makes data analysis easier without requiring coding skills.

Ideal for librarians and researchers interested in data science applications across Social Sciences and Business Studies.

Speakers:

Barbara Esty
Head of Data Services
Yale University Library

Yanqing Gui
PhD Student
Samuel Curtis Johnson Graduate School of Management
Cornell University

David Beavers
Ph.D. Student in Government

Yiyang Chen
Pre-Doctoral Fellow
Department of Economics

Moderator:

John Dillon
Manager, Product Management
ProQuest, Part of Clarivate

Register for the webinar

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