Matrix-Based News Aggregation: Exploring Different News Perspectives

@article{Hamborg2017MatrixBasedNA,
  title={Matrix-Based News Aggregation: Exploring Different News Perspectives},
  author={Felix Hamborg and Norman Meuschke and Bela Gipp},
  journal={2017 ACM/IEEE Joint Conference on Digital Libraries (JCDL)},
  year={2017},
  pages={1-10}
}
News aggregators capably handle the large amount of news that is published nowadays. However, these systems focus on the presentation of important, common information in news, but do not reveal different perspectives on the same topic. Thus, current news aggregators suffer from media bias, i.e. differences in the content or presentation of news. Finding such differences is crucial to reduce the effects of media bias. This paper presents matrix-based news analysis (MNA), a novel design for news… Expand
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References

SHOWING 1-10 OF 47 REFERENCES
NewsCube: delivering multiple aspects of news to mitigate media bias
TLDR
This paper presents NewsCube, a novel Internet news service aiming at mitigating the effect of media bias, which is the first to develop a news service as a solution and study its effect. Expand
NewsCube 2 . 0 : An Exploratory Design of a Social News Website for Media Bias Mitigation
We present NewsCube2.0, a social news website aiming to mitigate the effects of bias on socially contentious news issues. For contentious issues, news producers actively try to shape readers’Expand
Sidelines: An Algorithm for Increasing Diversity in News and Opinion Aggregators
TLDR
The Sidelines algorithm – which temporarily suppresses a voter’s preferences after a preferred item has been selected – is presented as one approach to increase the diversity of result sets and can help build news and opinion aggregators that present users with a broader range of topics and opinions. Expand
news-please - A Generic News Crawler and Extractor
TLDR
News-please is presented, a generic, multi-language, open-source crawler and extractor for news that works out-of-the-box for a large variety of news websites. Expand
Comparative News Summarization Using Linear Programming
TLDR
This study proposes a novel approach to generating comparative news summaries by forming the task as an optimization problem of selecting proper sentences to maximize the comparativeness within the summary and the representativeness to both news topics. Expand
How Online Gatekeepers Guard Our View - News Portals' Inclusion and Ranking of Media and Events
Abstract This study examines two news portals, Google News and Yahoo News, using a theoretical framework that incorporates the theory of network gatekeeping (Barzilai-Nahon, 2007) and the notion ofExpand
PNS: A Personalized News Aggregator on the Web
TLDR
A system that aggregates news from various electronic news publishers and distributors by using source-specific information extraction programs and parsers, organizes them according to pre-defined news categories and constructs personalized views via a Web-based interface. Expand
Sentiment Analysis in the News
TLDR
This work distinguishes three different possible views on newspaper articles ― author, reader and text, which have to be addressed differently at the time of analysing sentiment, and presents work on mining opinions about entities in English language news. Expand
The Market for News
We investigate the market for news under two assumptions: that readers hold beliefs which they like to see confirmed, and that newspapers can slant stories toward these beliefs. We show that, on theExpand
Visual Analysis of Explicit Opinion and News Bias in German Soccer Articles
TLDR
This work analyzes German soccer articles with respect to the sentiment that is expressed in them and suggests to bridge the existing gap with visual analytics methods and demonstrate the usability of the techniques on a concrete application example. Expand
...
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4
5
...