新闻报道中媒体偏见的识别和分析——客观性和可信度对公司决策和绩效的影响

Felix Hamborg, Norman Meuschke, Corinna Breitinger, Bela Gipp
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引用次数: 4

摘要

根据新闻来源的不同,读者可能会对同一事件有不同的叙述和相互矛盾的看法。今天,新闻聚合器帮助用户处理每天发布的大量新闻。但是,聚合器专注于呈现共享信息,而不公开同一主题文章的不同透视图。因此,这些聚合器的用户遭受媒体偏见,这往往是故意实施的,以影响公众舆论。在本文中,我们介绍了NewsBird,这是一个聚合器,可以呈现关于主题的共享和不同信息。目前,《新闻鸟》展现了对国际新闻的不同视角。我们的系统已经对媒体偏见和新闻分析产生了见解,我们用它来提出在未来研究中要研究的方法。我们的愿景是提供一个揭示媒体偏见的系统,从而最终允许用户对新闻中固有的潜在偏见做出自己的判断。
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Identification and Analysis of Media Bias in News Articles - The Impact of Objectivity and Believability on Corporate Decision Making and Performance
Depending on the news source, a reader can be exposed to a different narrative and conflicting perceptions for the same event. Today, news aggregators help users cope with the large volume of news published daily. However, aggregators focus on presenting shared information, but do not expose the different perspectives from articles on same topics. Thus, users of such aggregators suffer from media bias, which is often implemented intentionally to influence public opinion. In this paper, we present NewsBird, an aggregator that presents shared and different information on topics. Currently, NewsBird reveals different perspectives on international news. Our system has led to insights about media bias and news analysis, which we use to propose approaches to be investigated in future research. Our vision is to provide a system that reveals media bias, and thus ultimately allows users to make their own judgement on the potential bias inherent in news.
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