论文标题
谁谈论什么?将传统媒体中的信息处理与在线讨论进行比较
Who talks about what? Comparing the information treatment in traditional media with online discussions
论文作者
论文摘要
我们使用大量数据集研究了传统媒介,《纽约时报》杂志及其追随者之间相互作用的动态。它由该期刊在Covid-19大流行第一年发表的文章的元数据组成,以及@Nytimes帐户的大量追随者在Twitter上发表的帖子以及由其他几种不同类型媒体的关注者发布的帖子。媒介的独家追随者在Twitter中进行的讨论动态表明,对他们关注的媒介有很大的依赖性:@foxnews的追随者彼此之间的相似性最高,并且与一般组的兴趣差异很大。我们的结果还揭示了该期刊及其追随者对美国总统选举的关注的差异,并表明该主题与``Black Lives Matter''运动有关,在Twitter中开始了,并在后来由该期刊解决。
We study the dynamics of interactions between a traditional medium, the New York Times journal, and its followers in Twitter, using a massive dataset. It consists of the metadata of the articles published by the journal during the first year of the COVID-19 pandemic, and the posts published in Twitter by a large set of followers of the @nytimes account along with those published by a set of followers of several other media of different kind. The dynamics of discussions held in Twitter by exclusive followers of a medium show a strong dependence on the medium they follow: the followers of @FoxNews show the highest similarity to each other and a strong differentiation of interests with the general group. Our results also reveal the difference in the attention payed to U.S. presidential elections by the journal and by its followers, and show that the topic related to the ``Black Lives Matter'' movement started in Twitter, and was addressed later by the journal.