Google Discover: uses, applications and challenges in the digital journalism of Spain, Brazil and Greece

IF 3.1 3区 管理学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS
Carlos Lopezosa, Dimitrios Giomelakis, Leyberson Pedrosa, Lluís Codina
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引用次数: 0

Abstract

PurposeThis paper constitutes the first academic study to be made of Google Discover as applied to online journalism.Design/methodology/approachThis paper constitutes the first academic study to be made of Google Discover as applied to online journalism. The study involved conducting 61 semi-structured interviews with experts that are representative of a range of different professional profiles within the fields of journalism and search engine positioning (SEO) in Brazil, Spain and Greece. Based on the data collected, the authors created five semantic categories and compared the experts' perceptions in order to detect common response patterns.FindingsThis study results confirm the existence of different degrees of convergence and divergence in the opinions expressed in these three countries regarding the main dimensions of Google Discover, including specific strategies using the feed, its impact on web traffic, its impact on both quality and sensationalist content and on the degree of responsibility shown by the digital media in its use. The authors are also able to propose a set of best practices that journalists and digital media in-house web visibility teams should take into account to increase their probability of appearing in Google Discover. To this end, the authors consider strategies in the following areas of application: topics, different aspects of publication, elements of user experience, strategic analysis and diffusion and marketing.Originality/valueAlthough research exists on the application of SEO to different areas, there have not, to date, been any studies examining Google Discover.Peer reviewThe peer-review history for this article is available at: https://publons.com/publon/10.1108/OIR-10-2022-0574
谷歌探索:西班牙、巴西和希腊数字新闻的使用、应用和挑战
目的本文首次将谷歌Discover应用于网络新闻领域进行学术研究。设计/方法/方法这篇论文构成了b谷歌发现应用于在线新闻的第一个学术研究。这项研究对巴西、西班牙和希腊的新闻和搜索引擎定位(SEO)领域不同专业背景的专家进行了61次半结构化访谈。根据收集到的数据,作者创建了五个语义类别,并比较了专家们的看法,以发现共同的反应模式。本研究结果证实了这三个国家对b谷歌Discover主要维度的意见存在不同程度的趋同和分歧,包括使用feed的具体策略,对网络流量的影响,对质量和轰动内容的影响,以及数字媒体在使用feed时所表现出的责任程度。作者还提出了一组最佳实践,记者和数字媒体内部的网络可见性团队应该考虑这些实践,以增加他们出现在b谷歌Discover上的可能性。为此,作者考虑了以下应用领域的策略:主题、出版的不同方面、用户体验的要素、战略分析、传播和营销。原创性/价值虽然有关于搜索引擎优化在不同领域的应用的研究,但到目前为止,还没有任何关于b谷歌Discover的研究。同行评议这篇文章的同行评议历史可以在:https://publons.com/publon/10.1108/OIR-10-2022-0574
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Online Information Review
Online Information Review 工程技术-计算机:信息系统
CiteScore
6.90
自引率
16.10%
发文量
67
审稿时长
6 months
期刊介绍: The journal provides a multi-disciplinary forum for scholars from a range of fields, including information studies/iSchools, data studies, internet studies, media and communication studies and information systems. Publishes research on the social, political and ethical aspects of emergent digital information practices and platforms, and welcomes submissions that draw upon critical and socio-technical perspectives in order to address these developments. Welcomes empirical, conceptual and methodological contributions on any topics relevant to the broad field of digital information and communication, however we are particularly interested in receiving submissions that address emerging issues around the below topics. Coverage includes (but is not limited to): •Online communities, social networking and social media, including online political communication; crowdsourcing; positive computing and wellbeing. •The social drivers and implications of emerging data practices, including open data; big data; data journeys and flows; and research data management. •Digital transformations including organisations’ use of information technologies (e.g. Internet of Things and digitisation of user experience) to improve economic and social welfare, health and wellbeing, and protect the environment. •Developments in digital scholarship and the production and use of scholarly content. •Online and digital research methods, including their ethical aspects.
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