Paper Info
Title
Matrix-Based News Aggregation: Exploring Different News Perspectives.
Abstract
News aggregators capably handle the large amount of news that is published nowadays. However, these systems focus on identifying and presenting important, common information in news, but do not reveal different perspectives on the same topic. Differences in the content or presentation of news are referred to as media bias, which can have severe negative effects. Given their analysis approach, current news aggregators cannot effectively reveal media bias. To address this problem, we present matrix-based news analysis (MNA), a novel approach for news exploration that helps users gain a broad and diverse news understanding by presenting various perspectives on the same news topic. Additionally, we present NewsBird, a news aggregator that implements MNA for international news topics. The results of a case study demonstrate that NewsBird broadens the user's news understanding while providing similar news aggregation functionalities as established systems.
Year
DOI
Venue
2017
10.1109/JCDL.2017.7991561
JCDL
Keywords
Field
DocType
Media bias,news aggregation,frame analysis,content analysis,Google News
Information system,World Wide Web,Content analysis,Media bias,News aggregator,Computer science,Information science,News media,News analytics,Multimedia,Semantics
Conference
ISSN
ISBN
Citations 
2575-7865
978-1-5386-3861-3
4
PageRank 
References 
Authors
0.57
15
3
Name
Order
Citations
PageRank
felix hamborg1199.34
Norman Meuschke212717.44
Bela Gipp343251.77