- Authors
- Katherine Boss Libraries, New York University, New York, USA
- Meredith BroussardArthur L. Carter Journalism Institute, New York University, New York, USA.
- title
- Describing dynamic data journalism: developing a survey of news applications
- Please use the following URL when quoting:
- https://nbn-resolving.org/urn:nbn:de:bsz:14-qucosa2-166543
- original_in_proceeding00000
- Relying on News Media. Long Term Preservation and Perspectives for Our Collective Memory
Erscheinungsort: Dresden
Verlag: Sächsische Landesbibliothek – Staats- und Universitätsbibliothek Dresden
Erscheinungsjahr: 2017 - publication_date
- 2017
- Abstract (EN)
- Preserving dynamic, born-digital data journalism requires more than web scraping, as news stories today are built from much more than just text and images. Data journalism projects like news applications, or “news apps,” are composed of a database, the data in the database, the graphical interface that appears in the browser, accompanying text, and often images, videos, audio, and other multimedia components. Existing Internet archiving methods are not sufficient to save these data journalism projects for the future. This paper summarizes the context and history of news apps archiving, and describes the development of a survey of news applications. This survey will be used to create a working list of news organizations that are producing data journalism in the United States and a better sense of how and where these projects are currently being stored. The results of the survey will inform recommendations and processes for archiving dynamic data journalism.
- Keywords (DE)
- Datenjournalismus, digitale Archivierung, Computerjournalismus, Internetarchivierung
- Keywords (EN)
- data journalism, digital archiving, computational journalism, Internet archiving
- Classification (DDC)
- 070
- Classification (RVK)
- AP 22900
- Publishing house
- Sächsische Landesbibliothek - Staats- und Universitätsbibliothek Dresden
- version
- publizierte Version / Verlagsversion
- URN Qucosa
- urn:nbn:de:bsz:14-qucosa2-166543
- Qucosa date of publication
- 30.10.2017
- Document type
- in_proceeding
- Document language
- English
- licence