Digital Humanities Glossary

Systematic errors in computational outputs that reflect prejudices in training data, design assumptions, or societal structures.

The international umbrella organization for digital humanities professional societies, sponsoring major conferences and journals in the field.

Materials created originally in digital form with no analog predecessor, such as emails, websites, and social media posts.

A traditional literary method involving detailed, careful interpretation and analysis of an individual text's language, structure, and meaning.

Problem-solving approaches drawn from computer science, including decomposition, pattern recognition, abstraction, and algorithmic design.

An alphabetical index of all words in a text or corpus, showing their contexts. Father Busa's Index Thomisticus was one of the first computerized concordances.

A large, structured collection of texts assembled for linguistic or literary analysis, often annotated with metadata and markup.

Distributing research tasks to a large group of public volunteers, often via web platforms, to accomplish work at scale such as transcription or classification.

The graphical representation of data and information, including charts, maps, network graphs, and timelines used to reveal patterns in humanities datasets.

An online collection of digitized or born-digital primary source materials organized with metadata for research access and long-term preservation.

Practices and standards ensuring that digital materials remain accessible and usable over time despite hardware and software obsolescence.

Franco Moretti's term for using computational methods to analyze large collections of texts quantitatively rather than reading individual works closely.

A standardized set of 15 metadata elements used to describe digital resources for cross-institutional discovery and interoperability.

A system for capturing, analyzing, and visualizing spatial and geographic data, applied in humanities to map historical and cultural phenomena.

The earlier name for the field now called digital humanities, originating in the late 1940s with computational approaches to textual analysis.

Open standards for serving, sharing, and annotating high-resolution digital images across institutional repositories on the web.

Structured data published on the web using standards like RDF so that different datasets can be interconnected and queried across institutions.

A system of annotations (tags) added to text to define its structure, semantics, or presentation, such as XML, HTML, or TEI.

Structured information describing the attributes of a digital object, such as its creator, date, format, and subject, enabling discovery and management.

An NLP technique that identifies and classifies names of people, places, organizations, and dates in unstructured text.

A branch of artificial intelligence focused on enabling computers to understand, interpret, and generate human language.

Technology that converts images of text into machine-readable character data, essential for digitizing printed and handwritten historical documents.

A computational technique that determines the emotional tone or attitude expressed in a piece of text, classifying it as positive, negative, or neutral.

The quantitative study of writing style using statistical measures of linguistic features to attribute authorship or detect forgeries.

An international consortium and XML-based standard providing guidelines for encoding machine-readable humanities texts for scholarly research.