ArticleFrontiers in research metrics and analytics2022
Scarcity-driven monetization of digital content.
Article in Frontiers in research metrics and analytics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
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0 citing papers in PubMed.
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In the last two decades, the U.S. news industry has undergone significant disruption, which resulted in nearly a 66% drop in overall revenues. Such a monumental decline in subscription and advertising revenues has led news publishers to experiment with new revenue generation strategies. Some of these strategies, such as instituting a paywall on the newspaper's website and deploying a freemium business model have gained in popularity due to their promise of generating additional subscription and advertising revenue. However, these strategies limit readers' access to news, thereby contributing to news becoming a scarcer commodity. In contrast, alternative strategies such as reader-focused fundraising events aim to increase revenue organically by educating readers about the cost and value of quality journalism, with little implication for news scarcity. In this chapter, we survey several of these contemporary digital news monetization strategies with the goal of assessing the sustainability of scarcity-driven strategies. We offer conjectures about the conditions under which scarcity-driven strategies may be profitable relative to alternative monetization strategies and share some predictions about upcoming trends in the news industry.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.