Visualizing narrative patterns in online news media

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.author Koivunen-Niemi, Laura
dc.contributor.author Masoodian, Masood
dc.date.accessioned 2019-11-15T08:13:03Z
dc.date.available 2019-11-15T08:13:03Z
dc.date.issued 2019-10-11
dc.identifier.citation Koivunen-Niemi , L & Masoodian , M 2019 , ' Visualizing narrative patterns in online news media ' Multimedia Tools and Applications . https://doi.org/10.1007/s11042-019-08186-9 en
dc.identifier.issn 1380-7501
dc.identifier.other PURE UUID: edc15fb3-fde0-4384-a7b0-a79b861d0ce8
dc.identifier.other PURE ITEMURL: https://research.aalto.fi/en/publications/visualizing-narrative-patterns-in-online-news-media(edc15fb3-fde0-4384-a7b0-a79b861d0ce8).html
dc.identifier.other PURE FILEURL: https://research.aalto.fi/files/38603633/Visualizing_narrative_patterns_in_online_news_media.pdf
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/41280
dc.description.abstract News media play an important role in shaping social reality, and their multimedia narrative content, in particular, can have widespread repercussions in the public's perception of past and present phenomena. Being able to visually track changes in media coverage over time could offer the potential for aiding social change, as well as furthering accountability in journalism. In this paper, we explore how visualizations could be used to examine differences in online media narrative patterns over time and across publications. While there are existing means of visualizing such narrative patterns over time, few address the aspect of co-occurrence of variables in media content. Comparing co-occurrences of variables chronologically can be more useful in identifying patterns and possible biases in media coverage than simply counting the individual occurrences of those variables independently. Here, we present a visualization, called time-sets, which has been designed to support temporal comparisons of such co-occurrences. We also describe an interactive prototype tool we have developed based on time-sets for analysis of multimedia news datasets, using an illustrative case study of news articles published on three online sources over several years. We then report on a user study we have conducted to evaluate the time-sets visualization, and discuss its findings. en
dc.format.extent 28
dc.format.mimetype application/pdf
dc.language.iso en en
dc.publisher SPRINGER
dc.relation.ispartofseries Multimedia Tools and Applications en
dc.rights openAccess en
dc.subject.other 6132 Visual arts and design en
dc.title Visualizing narrative patterns in online news media en
dc.type A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä fi
dc.description.version Peer reviewed en
dc.contributor.department Department of Media
dc.contributor.department Department of Media en
dc.subject.keyword Temporal visualization
dc.subject.keyword Co-occurrence visualization
dc.subject.keyword Multimedia content
dc.subject.keyword Time-sets
dc.subject.keyword Visual design
dc.subject.keyword Journalism
dc.subject.keyword SET
dc.subject.keyword TELEVISION
dc.subject.keyword 6132 Visual arts and design
dc.identifier.urn URN:NBN:fi:aalto-201911156285
dc.identifier.doi 10.1007/s11042-019-08186-9
dc.type.version publishedVersion


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