Visualizing spatial-temporal evaluation of news stories

Julia Sheidin, Joel Lanir, Tsvi Kuflik, Peter Bak

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


News today are generated and distributed online by a multitude of sources all over the world. Easy and efficient monitoring and analysis of news stories is of interest to both professional analysts and the general public. One interesting aspect is the magnitude and impact of a story as well as its evolution over time. In this work we introduce an idea and a system that presents temporal and spatial evolution of news world-wide, in two different levels, to help users quickly understand and act upon the large amount of data. An overview option shows a general split of the reported news, and a more detailed view provides interactive options for deeper analysis of a single news episode. We demonstrate our system on data from news events generated by the Europe Media Monitor (EMM), an online news aggregator platform. Copyright is held by the owner/author(s).

Original languageEnglish
Title of host publicationIUI 2017 - Companion of the 22nd International Conference on Intelligent User Interfaces
PublisherAssociation for Computing Machinery
Number of pages4
ISBN (Electronic)9781450348935
StatePublished - 7 Mar 2017
Event22nd International Conference on Intelligent User Interfaces, IUI 2017 - Limassol, Cyprus
Duration: 13 Mar 201716 Mar 2017

Publication series

NameInternational Conference on Intelligent User Interfaces, Proceedings IUI


Conference22nd International Conference on Intelligent User Interfaces, IUI 2017


  • News
  • News visualization
  • Spatio-temporal visualization

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction


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