Logo des Repositoriums
 

Designing a Prototype for Visual Exploration of Narrative Patterns in NewsVideos

dc.contributor.authorLiebl, Bernhard
dc.contributor.authorBurghardt, Manuel
dc.contributor.editorKlein, Maike
dc.contributor.editorKrupka, Daniel
dc.contributor.editorWinter, Cornelia
dc.contributor.editorWohlgemuth, Volker
dc.date.accessioned2023-11-29T14:50:36Z
dc.date.available2023-11-29T14:50:36Z
dc.date.issued2023
dc.description.abstractNews videos play an important rule in shaping our everyday communication. At the same time, news videos use narrative patterns to keep people entertained. Understanding how these patterns work and are being applied in news videos is crucial for understanding how they may affect a videos ideological message, which is an important dimension in times of fake news and disinformation campaigns. We present Zoetrope, a web-based tool that supports the discovery of narrative patterns in news videos by means of a visual exploration approach. Zoetrope integrates a number of multimodal information extraction frameworks into an interactive visualization, to allow for an efficient exploratory access to large collections of news videos.en
dc.identifier.doi10.18420/inf2023_93
dc.identifier.isbn978-3-88579-731-9
dc.identifier.pissn1617-5468
dc.identifier.urihttps://dl.gi.de/handle/20.500.12116/43218
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofINFORMATIK 2023 - Designing Futures: Zukünfte gestalten
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-337
dc.subjectvisual analytics
dc.subjectvideo analytics
dc.titleDesigning a Prototype for Visual Exploration of Narrative Patterns in NewsVideosen
dc.typeText/Conference Paper
gi.citation.endPage840
gi.citation.publisherPlaceBonn
gi.citation.startPage831
gi.conference.date26.-29. September 2023
gi.conference.locationBerlin
gi.conference.sessiontitleKultur & Design - Digital Cultures Cultural Analytics (InfDH 2023)

Dateien

Originalbündel
1 - 1 von 1
Vorschaubild nicht verfügbar
Name:
05_01_06_Liebl.pdf
Größe:
651.21 KB
Format:
Adobe Portable Document Format