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Detecting Attention Dominating Moments Across Media Types

Authors: 
Publication Type: 
Refereed Conference Meeting Proceeding
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
Conference Name: 
1st International Workshop on Recent Trends in News Information Retrieval at ECIR’16
Digital Object Identifer (DOI): 
10.NA
Publication Date: 
01/03/2016
Conference Location: 
Italy
Institution: 
National University of Ireland, Dublin (UCD)
Open access repository: 
Yes
Publication document: