Research Methods for Reading Digital Data in the Digital Humanities

ISBN-13: 9781474409605 / Angielski / Twarda / 2016 / 256 str.

Griffin; Gabriele Griffin; Matt Hayler

Opis

Digital Humanities has become one of the new domains of academe at the interface of technological development, epistemological change, and methodological concerns. This volume explores how digital material might be read or utilized in research, whether that material is digitally born as fanfiction, for example, mostly is, or transposed from other sources. The volume asks questions such as what happens when text is transformed from printed into digital matter, and how that impacts on the methods we bring to bear on exploring that technologized matter, for example in the case of digital editions. Issues such as how to analyse visual material in digital archives or Twitter feeds, how to engage in data mining, what it means to undertake crowd-sourcing, big data, and what digital network analyses can tell us about online interactions are dealt with. This will give Humanities researchers ideas for doing digitally based research and also suggest ways of engaging with new digital research methods.

Spis treści

Introduction, Gabriele Griffin and Matt Hayler; 2. Matter Matters: The Effects of Materiality and the Move from Page to Screen, Matt Hayler; 3. Reading the Visual Page in the Digital Archive, Nathalie M. Houston; 4. Paratextual Navigation as a Research Method: Fan Fiction Archives and Reader Instructions, Maria Lindgren Leavenworth; 5. Data Mining and Word Frequency Analysis, Dawn Archer; 6. Reading Twitter: Combining Qualitative and Quantitative Methods in the Interpretation of Twitter Material, Stefan Gelfgren; 7. Reading Small Data in Indigenous Contexts: Ethical Perspectives, Coppélie Cocq; Knowing Your Crowd: An Essential Component to Crowdsourcing Research, Gabriel K. Wolfenstein; 9. Fantasies of Scientificity: Ethnographic Identity and the Use of QDA Software, Anna Johansson and Anna Sofia Lundgren; 10. Digital Network Analysis: Understanding Everyday Online Discourse Micro- and Macroscopically, Robert Glenn Howard; 11. Dealing with Big Data, Tobias Blanke and Andrew Prescott; Notes on Contributors; Index.