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Detecting Attention Dominating Moments Across Media Types
Author(s)
Date Issued
2016-03-20
Date Available
2017-02-20T12:54:15Z
Abstract
In this paper we address the problem of identifying attention dominating moments in online media. We are interested in discovering moments when everyone seems to be talking about the same thing. We investigate one particular aspect of breaking news: the tendency of multiple sources to concentrate attention on a single topic, leading to a collapse in diversity of content for a period of time. In this work we show that diversity at a topic level is effective for capturing this effect in blogs, in news articles, and on Twitter. The phenomenon is present in three distinctly different media types, each with their own unique features. We describe the phenomenon using case studies relating to major news stories from September 2015.
Sponsorship
Science Foundation Ireland
Type of Material
Conference Publication
Publisher
CEUR Workshop Proceedings
Subjects
Web versions
Language
English
Status of Item
Peer reviewed
Journal
Martinez, M., Kruschwitz, U., Kazai, G., Corney, D., Hopfgartner, F., Campos, R., Albakour, D. (eds.). Proceedings of the NewsIR’16 Workshop at ECIR
Conference Details
NewsIR’16 Workshop at ECIR, Padua, Italy, 20-March 2016
This item is made available under a Creative Commons License
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insight_publication.pdf
Size
305.93 KB
Format
Adobe PDF
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