Humanities and Big Data in Ibero-America : : Theory, Methodology and Practical Applications.

• Superior document: Humanidades Digitales y Big Data en Iberoamérica / Digital Humanities and Big Data in Ibero-America Series ; v.2
• Author: Gallego Cuiñas, Ana.
• TeilnehmendeR: Torres-Salinas, Daniel.
• Place / Publishing House: Berlin/Boston : : Walter de Gruyter GmbH,, 2023.; {copy}2024.
• Year of Publication: 2023
• Edition: 1st ed.
• Language: English
• Series: Humanidades Digitales y Big Data en Iberoamérica / Digital Humanities and Big Data in Ibero-America Series
• Physical Description: 1 online resource (240 pages)

The series presents interdisciplinary studies harnessing humanistic as well as digital tools to offer innovative approaches to literary studies, linguistics, critical theory and philosophy in the 21st-century Ibero-American space. Along three main lines of research - digital corpora, experimental linguistics, and the relation between literature, critique and big data - it transcends dataism to open new perspectives within Digital Humanities.

Table of Contents

Intro -- Contents -- Introduction. Towards Expanded Humanities: Review and Agenda -- 1 Theoretical Framework -- A Brief Introduction to Big Data for Humanists -- Literature Seen Through Big Data and Artificial Intelligence: Key Concepts and Critical Challenges -- Epistemology and Big Data: From Grand Narratives to Big Data -- Is 'An-other Humanism' Possible through the Folds of Big Data? -- 2 Methodological Issues -- Towards a Science of Humanities: How Big Data can Solve the Limitations of Scientometrics -- What is Blockchain and How can it Help the Humanities? -- Spanish Corpora: Big (Quality) Data? -- Literature and Algorithms: "Aesthesis" and "Mathesis" in Digital Humanities -- 3 Practical Applications -- The Literary System of the Iberian Worlds Through the Lens of Criticometrics -- Global Translation Flows in Ibero-American Periodicals: A Network Science Perspective -- Little Big Data: The Poem Against The Database -- Big Borges: What Can Big Data Show About a Classic Writer on Social Networks?.