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主流媒体中真实和感知偏见的本质

On the nature of real and perceived bias in the mainstream media.

机构信息

Department of Computer Science, Faculty of Engineering, Universidad de Concepción, Concepción, Chile.

Institute of Data Science, Faculty of Engineering, Universidad del Desarrollo, Santiago, Chile.

出版信息

PLoS One. 2018 Mar 23;13(3):e0193765. doi: 10.1371/journal.pone.0193765. eCollection 2018.

Abstract

News consumers expect news outlets to be objective and balanced in their reports of events and opinions. However, there is a growing body of evidence of bias in the media caused by underlying political and socio-economic viewpoints. Previous studies have tried to classify the partiality of the media, but there is little work on quantifying it, and less still on the nature of this partiality. The vast amount of content published in social media enables us to quantify the inclination of the press to pre-defined sides of the socio-political spectrum. To describe such tendencies, we use tweets to automatically compute a news outlet's political and socio-economic orientation. Results show that the media have a measurable bias, and illustrate this by showing the favoritism of Chilean media for the ruling political parties in the country. This favoritism becomes clearer as we empirically observe a shift in the position of the mass media when there is a change in government. Even though relative differences in bias between news outlets can be observed, public awareness of the bias of the media landscape as a whole appears to be limited by the political space defined by the news that we receive as a population. We found that the nature of the bias is reflected in the vocabulary used and the entities mentioned by different news outlets. A survey conducted among news consumers confirms that media bias has an impact on the coverage of controversial topics and that this is perceivable by the general audience. Having a more accurate method to measure and characterize media bias will help readers position outlets in the socio-economic landscape, even when a (sometimes opposite) self-declared position is stated. This will empower readers to better reflect on the content provided by their news outlets of choice.

摘要

新闻消费者期望新闻媒体在报道事件和观点时保持客观和平衡。然而,越来越多的证据表明,媒体存在偏见,这种偏见源于潜在的政治和社会经济观点。以前的研究试图对媒体的偏见进行分类,但很少有工作对其进行量化,更不用说对这种偏见的性质进行研究了。社交媒体上发布的大量内容使我们能够量化媒体对社会政治光谱预先定义的立场的倾向。为了描述这种趋势,我们使用推文自动计算新闻媒体的政治和社会经济倾向。结果表明,媒体存在可衡量的偏见,并通过展示智利媒体对该国执政政党的偏好来说明这一点。随着我们从经验上观察到大众媒体在政府更迭时立场的转变,这种偏好变得更加明显。尽管可以观察到新闻媒体之间的偏见存在相对差异,但由于我们作为一个群体接收的新闻所定义的政治空间,公众对媒体整体偏见的认识似乎受到限制。我们发现,偏见的性质反映在不同新闻媒体使用的词汇和提到的实体上。一项针对新闻消费者的调查证实,媒体偏见会影响有争议话题的报道,而且这是普通观众能够感知到的。有一个更准确的方法来衡量和描述媒体偏见将帮助读者在社会经济景观中定位媒体,即使他们自己宣称的立场(有时是相反的)。这将使读者能够更好地反思他们选择的新闻媒体提供的内容。

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