News 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
| Identifer | oai:union.ndltd.org:DRESDEN/oai:qucosa:de:qucosa:92493 |
| Date | 04 July 2024 |
| Creators | Liebl, Bernhard, Burghardt, Manuel |
| Publisher | Gesellschaft für Informatik e.V. |
| Source Sets | Hochschulschriftenserver (HSSS) der SLUB Dresden |
| Language | English |
| Detected Language | English |
| Type | info:eu-repo/semantics/publishedVersion, doc-type:conferenceObject, info:eu-repo/semantics/conferenceObject, doc-type:Text |
| Rights | info:eu-repo/semantics/openAccess |
| Relation | https://doi.org/10.18420/inf2023_93 |
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