新闻分享是衡量媒体一致性的一种方式

Gábor Simonovits, Ádám Vig
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引用次数: 0

摘要

在这篇文章中,我们介绍了一种新的方法来衡量媒体的一致性,这种一致性来源于记者的故事分享行为。我们使用来自两个领先的匈牙利新闻网站的大量在线新闻故事语料库,并估计他们引用的大量网点的对齐分数。在某种程度上,记者更有可能引用意识形态上接近的消息来源,我们的衡量标准可以用来比较政治空间上的大量媒体——在我们的例子中是政府与独立空间。我们用两个实证应用来证明这种方法的使用。首先,我们证明了我们的一致性得分成功地捕获了在单一时间点上不同出口的已知意识形态差异。其次,我们证明了在所有权突然变化之后,捕获的出口的季度对齐估计会发生巨大变化。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
News sharing as a measure of media alignment
In this note we introduce a new approach to measure media alignment derived from the story-sharing behavior of journalists. We use a large corpus of online news stories from two leading Hungarian news sites and estimate alignment scores for a large number of outlets that they cite. To the extent that journalists are more likely to cite ideologically proximate sources, our measure can be used to compare a large number of media outlets on a political — in our case government vs. independent — space. We demonstrate the use of this approach with two empirical applications. First, we show that our alignment scores successfully capture known ideological variation across outlets at a single point in time. Second, we demonstrate that quarterly estimates of alignment for a captured outlet change dramatically following an abrupt change in ownership.
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