@inproceedings{ac4444d1b67847f8a750b167c11f5fcc,
title = "Visualizing spatial-temporal evaluation of news stories",
abstract = "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).",
keywords = "News, News visualization, Spatio-temporal visualization",
author = "Julia Sheidin and Joel Lanir and Tsvi Kuflik and Peter Bak",
year = "2017",
month = mar,
day = "7",
doi = "10.1145/3030024.3040984",
language = "English",
series = "International Conference on Intelligent User Interfaces, Proceedings IUI",
publisher = "Association for Computing Machinery",
pages = "65--68",
booktitle = "IUI 2017 - Companion of the 22nd International Conference on Intelligent User Interfaces",
address = "United States",
note = "22nd International Conference on Intelligent User Interfaces, IUI 2017 ; Conference date: 13-03-2017 Through 16-03-2017",
}