品牌内容和新媒体商业模式中的大数据和编辑智能

IF 2.6 4区 管理学 Q1 COMMUNICATION
Daniel Zomeño, R. Blay-Arráez
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引用次数: 6

摘要

本文研究了西班牙媒体品牌内容部门的数据使用情况。由内容创作者生成的编辑智能,再加上技术部门及其受众分析和监控工具,构成了一种新兴现象。这些流程为新的业务部门提供了机会,为编辑品牌提供各种具有高附加值的策略和产品,以应对高度复杂的广告环境。通过深入访谈和西班牙主要媒体品牌内容经理的合格样本,对创建编辑产品(如本地广告)所使用的方法进行了定性实地调查。研究结果证实了技术角色与数字生态系统知识以及分析部门的关系,这有助于对受众及其行为产生深入的了解。这就产生了与数据相关的新商业模式,为媒体提供资金。这项研究很重要,因为它提供了通过传统媒体标题、垂直媒体和数字原生代为品牌创建内容的过程。这些结论可以作为一种方法参考,有助于改进这些过程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Big data e inteligencia editorial en el branded content y en los nuevos modelos de negocio de los medios
This article studies the use of data in the branded content departments of the Spanish media. The editorial intelligence generated by content creators, together with technology departments and their audience analysis and monitoring tools, compose an emerging phenomenon. These processes provide new business units with the opportunity to offer editorial brands various strategies and products with high added value to cope with a highly complex advertising context. The methodology used in creating editorial products such as native advertising is reviewed based on qualitative fieldwork using in-depth interviews and a qualified sample of branded content managers for the main Spanish media outlets. The results corroborate the involvement of technological roles with knowledge of the digital ecosystem, as well as the analysis departments, which contribute to generating in-depth knowledge of audiences and their behavior. This gives rise to new business models associated with data to finance the media. This research is important because it provides insight into the processes used to create content for brands via legacy media titles, vertical media, and digital natives. These conclusions could serve as a methodological reference that can contribute to improving these processes.
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来源期刊
CiteScore
8.10
自引率
9.50%
发文量
109
期刊介绍: El profesional de la información es una revista sobre información, bibliotecas y nuevas tecnologías de la información. Primera revista española de Biblioteconomía y Documentación indexada por las dos bases de datos bibliográficas internacionales más importantes: ISI Social Science Citation Index y Scopus
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