Matrix-based news aggregation: exploring different news perspectives

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.