IEEE VIS 2024 Content: News Globe: Visualization of Geolocalized News Articles

News Globe: Visualization of Geolocalized News Articles

Nicholas Ingulfsen -

Simone Schaub-Meyer -

Markus Gross -

Tobias Günther -

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DOI: 10.1109/MCG.2021.3127434

Room: Bayshore III

2024-10-16T16:12:00ZGMT-0600Change your timezone on the schedule page
2024-10-16T16:12:00Z
Exemplar figure, described by caption below
Most news websites provide access to only the most recent articles and offer no support to explore the temporal evolution of news. Further, many articles contain the names of places, which would allow to geolocalize and cluster news. With news globe, we provide a visualization system that gives readers the means to explore both the spatial and temporal dimension in a georeferenced context.
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Keywords

News Articles, Number Of Articles, Headlines, Interactive Visualization, Online News, Agglomerative Clustering, Local News, Interactive Exploration, Desktop PC, Different Levels Of Detail, News Portals, Spatial Information, User Study, 3D Space, Human-computer Interaction, Temporal Information, Third Dimension, Tablet Computer, Pie Chart, News Stories, 3D Visualization, Article Details, Visual Point, Bottom Of The Screen, Geospatial Data, Type Of Visualization, Largest Dataset, Tagging Location, Live Feed

Abstract

The number of online news articles available nowadays is rapidly increasing. When exploring articles on online news portals, navigation is mostly limited to the most recent ones. The spatial context and the history of topics are not immediately accessible. To support readers in the exploration or research of articles in large datasets, we developed an interactive 3D globe visualization. We worked with datasets from multiple online news portals containing up to 45,000 articles. Using agglomerative hierarchical clustering, we represent the referenced locations of news articles on a globe with different levels of detail. We employ two interaction schemes for navigating the viewpoint on the visualization, including support for hand-held devices and desktop PCs, and provide search functionality and interactive filtering. Based on this framework, we explore additional modules for jointly exploring the spatial and temporal domain of the dataset and incorporating live news into the visualization.