Mapping the Elusive: Using Network Analysis to Understand Slavery, Debt Relations, and the Emergence of a Free Population of African Descent in 18th-Century Colonial Havana
Cuba Knowledge Graphs Social Networks

Mapping the Elusive: Using Network Analysis to Understand Slavery, Debt Relations, and the Emergence of a Free Population of African Descent in 18th-Century Colonial Havana

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Who is the Working Class, Socialist James Bond? Exploring Propaganda through Knowledge Graphs and AI-Assisted Forensic Reading in Bulgarian Spy Fiction

Who is the Working Class, Socialist James Bond? Exploring Propaganda through Knowledge Graphs and AI-Assisted Forensic Reading in Bulgarian Spy Fiction

The Cold War between the "free world" and the Communist Bloc involved multiple fronts, including intense literary warfare. In the bloc, authors crafted characters that reflected traits and ideals promoted by those regimes. To deepen our understanding of these works and their ideological underpinnings, we employ an original method we call "AI-assisted forensic reading," using advanced natural language processing, knowledge graphs, and artificial intelligence. Our approach uncovers new knowledge in the target literature by illuminating how these authors construct meaning, disseminate propaganda, and mirror idealized traits or real-life events, likely under the influence or direction of intelligence agency leaders.

Database Escrituras Protocolos 1640 a 44 y 50 and 1730 a 1733

Database Escrituras Protocolos 1640 a 44 y 50 and 1730 a 1733

Transcripts of notarial records preserved from an endangered colonial archive that documents the selling and pawnship practices involving enslaved people in Havana, Cuba during the 17th and 18th centuries.

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.