Using Knowledge Graphs to Explore Propeganda
Russia Spy Novels Government Data Knowledge Graphs Social Networks

Using Knowledge Graphs to Explore Propeganda

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Text Mining for Historical Analysis

Text Mining for Historical Analysis

Text Mining for Historical Analysis offers a critical intervention into the evolving field of digital history. It introduces "computational historical thinking"-a mode of thinking that explores the epistemological entanglements between computation, theory, and historical analysis, emphasizing how computational procedures actively shape the questions we ask and the meanings we derive from data. Through sustained engagement with historical corpora—such as the 19th-century Hansard debates and contemporary U.S. Congressional Records—this book demonstrates how to attend to both structure and semantics, thus reimagining the relationship between computation and historical knowledge in the digital age.

Democracy Viewer

Democracy Viewer

Democracy Viewer is an open-source text mining application that enables analysts to explore and interpret humanities texts using techniques like word counts, TF-IDF, and word embeddings. It supports both distant and close reading. Analysts can upload their own datasets or work with curated collections available on the platform. Democracy Viewer also provides access to open government data, including U.S. Congressional records, making public texts more accessible for research and civic engagement.

Beyond the Black Box: Toward Transparent AI for Computational Text Analysis in the Digital Humanities

Beyond the Black Box: Toward Transparent AI for Computational Text Analysis in the Digital Humanities

This article introduces Critical Generative Interpretation, a method that supports humanist inquiry by making AI-generated insights traceable and grounded in textual evidence. By linking large language model (LLM) outputs to structured knowledge graphs derived from source texts, the method enables scholars to critically assess where generated interpretations come from and how they relate to the original material. This methodology supports humanist inquiry through close reading. Through a case study of Harold and the Purple Crayon, the article shows how this approach fosters interpretive engagement and makes AI a method for humanistic knowledge production.