Editorial Special Issue Audiovisual Data in Digital Humanities
This issue of VIEW provides a critical survey of new digital humanities (DH) methods and tools directed toward audiovisual (AV) media. DH as a field is still dominated by a focus on textual studies (studies of word culture) that are largely “deaf and blind” in their capacity to search, discover, and study AV materials. The mandate to improve these capacities is clear and unquestioned, though the pathways are fecund and numerous. New and emergent tools related to deep learning algorithms are reasonably expected to change this methodological landscape within the digitally accelerated near-future.
|Keywords||Digital Humanities, Audiovisual Data|
|Publisher||Netherlands Institute for Sound and Vision|
|Rights||Authors who publish with this journal agree to the following terms:Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Creative Commons Attribution License that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).|
|Note||VIEW Journal of European Television History and Culture; Vol 7, No 14 (2018); 1-4|
Fickers, Andreas, Snickars, Pelle, & Williams, Mark J. (2018). Editorial Special Issue Audiovisual Data in Digital Humanities. VIEW Journal, 7(14), 1–4. doi:10.18146/2213-0969.2018.jethc149