Details

Autor(en) / Beteiligte

• Griffin, Gabriele
• Archer, Dawn
• Blanke, Tobias
• Cocq, Coppélie
• Gelfgren, Stefan
• Griffin, Gabriele
• Hayler, Matt
• Hayler, Matt
• Houston, Natalie M
• Howard, Robert Glenn
• Johansson, Anna
• Lindgren Leavenworth, Maria
• Lundgren, Anna Sofia
• Prescott, Andrew
• Wolfenstein, Gabriel K

Titel

Research Methods for Reading Digital Data in the Digital Humanities

Ist Teil von

• Research Methods for the Arts and Humanities : RMAH

Ort / Verlag

Edinburgh : Edinburgh University Press

Erscheinungsjahr

[2022]

Link zu anderen Inhalten

• Cover

Beschreibungen/Notizen

• The first volume to introduce the techniques and methods of reading digital material for researchDigital 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, 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 how 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.Key featuresFirst volume centred on the navigation and interpretation of digital material as research methods in the HumanitiesUp-to-date analyses of issues and methods including big data, crowdsourcing, digital network analysis, working with digital additionsBased on actual research projects such as para-textual work with fanfiction, reading twitter, different kinds of distant and close readings