Communications in Humanities Research ISSN: 2753-7072
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Research Article

The Deep Linking Model of Knowledge Payment Driven by Data--A Breakthrough Perspective Based on Communication Theory

Junkai NiuNanjing Normal University*

* Corresponding author: [email protected]

Abstract

In the post pandemic era, paid knowledge received widespread attention as a mainstream learning model, but still faces challenges brought by algorithms. This article analyzes how algorithms promote the commercialization of knowledge products from three aspects: knowledge payment platforms, knowledge disseminators, and knowledge payment users, as well as the inherent linking patterns among the three. Based on the current situation, a breakthrough method for the sustainable development of the paid knowledge industry is proposed by using "deep linking" instead of an efficiency-oriented algorithm derivation. The analysis in this article concludes that due to technical issues with algorithms, platform power is gradually solidifying, and users who pay for knowledge are trapped in information cocoons, leading to these challenges. Based on this, this article proposes the following suggestions: "Deep linking" needs to rely on a triple path of algorithm transparency, community mutual benefit, and diversified evaluation to reconcile the contradiction between commercial interests and long-term user growth.

Keywords: Paid knowledge; algorithm recommendation; deep linking; information cocoon; Media Theory
Published: March 30, 2026
DOI: 10.54254/2753-7064/2026.HT32508
Volume: CHR Vol.104
pp. 236-242
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