Archives, Access and Artificial Intelligence : Working with Born-Digital and Digitized Archival Collections /

Digital archives are transforming the Humanities and the Sciences. Digitised collections of newspapers and books have pushed scholars to develop new, data-rich methods. Born-digital archives are now better preserved and managed thanks to the development of open-access and commercial software. Digita...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Bell, Mark (Archivist) (Contribuidor), Donoho, David L. (Contribuidor), Eve, Martin Paul (Contribuidor), Gadie, Robert (Contribuidor), Gooding, Paul (Contribuidor), Han, X.Y (Contribuidor), Hodel, Tobias (Contribuidor), Jaillant, Lise (Contribuidor, Editor ), Johnson, C. Richard (Contribuidor), Marciano, Richard (Contribuidor), Odeniyi, Victoria (Contribuidor), Parvin, Shahina (Contribuidor), Prokop, Ellen (Contribuidor), Storrar, Tom (Contribuidor), Terras, Melissa (Contribuidor), Winters, Jane (Contribuidor)
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Bielefeld : Bielefeld University Press, [2022]
Colección:Digital humanities research.
Temas:
Social sciences.
Access.
Artificial Intelligence.
Bielefeld University Press.
Digital Humanities.
Digital Media.
Digitised Archives.
Internet.
Media.
New Research Methods.
Preservation.
Technology.
Sciences sociales.
social sciences.
SOCIAL SCIENCE / Media Studies.
Social sciences
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Frontmatter
  • Contents
  • Introduction
  • Chapter 1: Artificial Intelligence and Discovering the Digitized Photoarchive
  • Chapter 2: Web Archives and the Problem of Access: Prototyping a Researcher Dashboard for the UK Government Web Archive
  • Chapter 3: Design Thinking, UX and Born-digital Archives: Solving the Problem of Dark Archives Closed to Users
  • Chapter 4: Towards Critically Addressable Data for Digital Library User Studies
  • Chapter 5: Reviewing the Reviewers: Training Neural Networks to Read Peer Review Reports
  • Chapter 6: Supervised and Unsupervised: Approaches to Machine Learning for Textual Entities
  • Chapter 7: Inviting AI into the Archives: The Reception of Handwritten Recognition Technology into Historical Manuscript Transcription
  • AFTERWORD: Towards a new Discipline of Computational Archival Science (CAS)
  • Authors (by order of appearance in the volume)

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