数字可持续性:用多维注意力模型评估美国报纸的在线读者

IF 0.8 Q3 COMMUNICATION
Nan Zheng, H. I. Chyi, Yee Man Margaret Ng, Kelly Kaufhold
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引用次数: 1

摘要

报纸的数字化实验已经进行了20多年,但大多数报纸仍在努力寻找一种商业模式,而数字收入只占总收入的一小部分。为了检验数字新闻的可持续性,本研究用多维网络注意力模型评估了美国前50家报纸的数字读者。利用尼尔森和Comscore数据进行的实证分析发现,报纸在线读者群在多个维度(覆盖面、受欢迎程度、忠诚度、深度和粘性)存在问题。7天市场覆盖率约为13%。受欢迎程度各不相同,但忠诚度普遍较低——平均每个用户每月访问不超过3次(M = 2.53)。深度和粘性也不尽如人意,每次访问大约浏览两个页面(M = 2.21),在一个页面上花费的时间略多于一分钟(M = 1.18)。虽然地方报纸没有从规模经济中受益,但全国性报纸尽管拥有更多资源,但仅在受欢迎程度上优于地方报纸。手机用户占多数,但缺乏忠诚度和深度。18-24岁的用户仍然是报纸读者的一小部分。这些发现揭示了整个行业在吸引在线读者方面的失败。报纸数字化可持续性问题的核心是读者群在多个方面都存在不足。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Digital Sustainability: Assessing U.S. Newspapers’ Online Readership with the Multidimensional Attention Model
ABSTRACT More than 20 years into newspapers’ digital experiment, most are still struggling in search of a business model while digital revenue remains a fraction of total revenue. To examine the sustainability of digital journalism, this study assesses the top 50 U.S. newspapers’ digital readership with the Multidimensional Web Attention Model. Empirical analyses using Nielsen and Comscore data identified problems with newspapers’ online readership across multiple dimensions (reach, popularity, loyalty, depth, and stickiness). Seven-day market reach is around 13%. Popularity varies but loyalty is low across the board – an average user makes no more than three visits a month (M = 2.53). Depth and stickiness are also underwhelming, with about two pages viewed per visit (M = 2.21) and slightly more than one minute spent on a page (M = 1.18). While local papers do not benefit from the economies of scale, national newspapers, despite more resources, outperform their local counterparts only on the popularity dimension. Mobile users constitute the majority but fall short on loyalty and depth. Users aged 18–24 remain a small portion of the newspaper audience. These findings parse out the industry-wide failure to engage online readers. At the core of newspapers’ digital sustainability problem is a readership that falls short in multiple ways.
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来源期刊
CiteScore
3.10
自引率
5.30%
发文量
12
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