Media bias describes differences in the content or presentation of news. It is an ubiquitous phenomenon in news coverage that can have severely negative effects on individuals and society. Identifying media bias is a challenging problem, for which current information systems offer little support. News aggregators are the most important class of systems to support users in coping with the large amount of news that is published nowadays. These systems focus on identifying and presenting important, common information in news articles, but do not reveal different perspectives on the same topic. Due to this analysis approach, current news aggregators cannot effectively reveal media bias. To address this problem, we present matrix-based news aggregation, 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, an open-source news aggregator that implements matrix-based news aggregation for international news topics. The results of a user study showed that NewsBird more effectively broadens the user’s news understanding than the list-based visualization approach employed by established news aggregators, while achieving comparable effectiveness and efficiency for the two main use cases of news consumption: getting an overview of and finding details on current news topics.

中文翻译：

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使用基于矩阵的新闻聚合的偏差感知新闻分析

媒体偏见描述新闻内容或呈现方式的差异。这是新闻报道中普遍存在的现象，会对个人和社会产生严重的负面影响。识别媒体偏见是一个具有挑战性的问题，当前的信息系统对此提供的支持很少。新闻聚合器是支持用户应对当今发布的大量新闻的最重要的系统类别。这些系统专注于在新闻文章中标识和呈现重要的公共信息，但不会揭示同一主题的不同观点。由于这种分析方法，当前的新闻聚合商无法有效地揭示媒体的偏见。为了解决这个问题，我们提出了基于矩阵的新闻聚合，一种新颖的新闻探索方法，可通过针对同一新闻主题呈现各种观点来帮助用户获得广泛而多样的新闻理解。此外，我们还将介绍NewsBird，这是一种开源新闻聚合器，可为国际新闻主题实现基于矩阵的新闻聚合。一项用户研究的结果表明，NewsBird比已建立的新闻聚合商采用的基于列表的可视化方法更有效地扩展了用户对新闻的理解，同时在两个主要的新闻消费用例上实现了可比的有效性和效率：查找有关当前新闻主题的详细信息。一个开源新闻聚合器，为国际新闻主题实现基于矩阵的新闻聚合。一项用户研究的结果表明，NewsBird比已建立的新闻聚合商采用的基于列表的可视化方法更有效地扩展了用户对新闻的理解，同时在两个主要的新闻消费用例上实现了可比的有效性和效率：查找有关当前新闻主题的详细信息。一个开源新闻聚合器，为国际新闻主题实现基于矩阵的新闻聚合。一项用户研究的结果表明，NewsBird比已建立的新闻聚合商采用的基于列表的可视化方法更有效地扩展了用户对新闻的理解，同时在两个主要的新闻消费用例上实现了可比的有效性和效率：查找有关当前新闻主题的详细信息。