Literature Seen Through Big Data and Artificial Intelligence: Key Concepts and Critical Challenges

Chapters in this book

1. Frontmatter I
2. Contents V
3. Introduction. Towards Expanded Humanities: Review and Agenda 1
4. 1 Theoretical Framework
5. A Brief Introduction to Big Data for Humanists 9
6. Literature Seen Through Big Data and Artificial Intelligence: Key Concepts and Critical Challenges 25
7. Epistemology and Big Data: From Grand Narratives to Big Data 43
8. Is ‘An-other Humanism’ Possible through the Folds of Big Data? 55
9. 2 Methodological Issues
10. Towards a Science of Humanities: How Big Data can Solve the Limitations of Scientometrics 75
11. What is Blockchain and How can it Help the Humanities? 93
12. Spanish Corpora: Big (Quality) Data? 109
13. Literature and Algorithms: “Aesthesis” and “Mathesis” in Digital Humanities 129
14. 3 Practical Applications
15. The Literary System of the Iberian Worlds Through the Lens of Criticometrics 145
16. Global Translation Flows in Ibero-American Periodicals: A Network Science Perspective 165
17. Little Big Data: The Poem Against The Database 191
18. Big Borges: What Can Big Data Show About a Classic Writer on Social Networks? 207