Article:
Editorial Special Issue Audiovisual Data in Digital Humanities

Simple item page
dc.creatorFickers, Andreas
dc.creatorSnickars, Pelle
dc.creatorWilliams, Mark J.
dc.date.accessioned2020-08-24T13:55:00Z
dc.date.available2020-08-24T13:55:00Z
dc.date.issued2018-10-31
dc.description.abstractThis 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.en
dc.identifier.doi10.18146/2213-0969.2018.jethc149
dc.identifier.doihttp://dx.doi.org/10.25969/mediarep/14750
dc.identifier.urihttps://mediarep.org/handle/doc/15730
dc.languageeng
dc.publisherNetherlands Institute for Sound and Vision
dc.publisher.placeHilversum
dc.relation.isPartOfissn:2213-0969
dc.relation.ispartofseriesVIEW Journal of European Television History and Culture
dc.rights.urihttp://creativecommons.org/licenses/by-sa/4.0
dc.subjectFernsehende
dc.subjectAudiovisual Dataen
dc.subjectDigital Humanitiesen
dc.subject.ddcddc:070
dc.subject.ddcddc:791
dc.titleEditorial Special Issue Audiovisual Data in Digital Humanitiesen
dc.typearticle
dc.type.statuspublishedVersion
dspace.entity.typeArticleen
local.coverpage2021-05-29T06:12:56
local.identifier.firstpublishedhttps://doi.org/10.18146/2213-0969.2018.jethc149
local.source.epage4
local.source.issue14
local.source.spage1
local.source.volume7

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
VIEW_14_2018_1-4_Fickers_ea_Editorial_.pdf
Size:
778.01 KB
Format:
Adobe Portable Document Format
Description:
Original PDF with additional cover page.
Download

Collections

2018 | 14 | Audiovisual Data in Digital Humanities