In recent decades, journalism has undergone considerable transformation, initially fuelled by the digitalization of journalistic work flows and subsequently by the introduction of the Internet, its services, and its effects. Since contemporary journalists employ multiple digital tools and services to gather, administrate, and process information for public consumption, new types/genres of journalism have emerged. Among these, data journalism is one of the most prominent, introduced due to the availability of data in digital form and also to the abundance of efficient online tools that help users analyze, visualize, and publish large amounts of data. Indeed, it is not only the journalistic profession that has changed, but the communication process itself, which has been fundamentally altered to meet the public’s current needs and demands. This paper introduces and examines the mediated data model of communication flow to describe these new norms in the mass communication process. Using big data as a case study and moving on to data journalism, we provide a theoretical overview of the model, employing the theory of the two-step flow of communication as a starting point, while attempting to shed light on the current communication process between journalists/media and their initial sources of information.

中文翻译：

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通信流的中介数据模型：大数据和数据新闻

在最近的几十年中，新闻业经历了巨大的变革，最初是由新闻工作流程的数字化推动，随后是互联网，其服务及其影响的引入。由于当代新闻工作者使用多种数字工具和服务来收集，管理和处理供公众消费的信息，因此出现了新型的新闻类型。在这些新闻中，数据新闻是最突出的新闻之一，这是由于以数字形式提供的数据以及大量帮助用户分析，可视化和发布大量数据的有效在线工具所致。确实，不仅新闻工作者的职业发生了变化，传播过程本身也发生了变化，为满足公众当前的需要和要求，对传播过程进行了根本性的改变。本文介绍并研究了通信流的中介数据模型，以描述大众传播过程中的这些新规范。以大数据为案例研究并继续进行数据新闻研究，我们以沟通的两步流理论为起点，提供了该模型的理论概述，同时试图阐明当前的沟通过程。记者/媒体及其最初的信息来源。