Issue |
SHS Web of Conf.
Volume 193, 2024
2024 International Conference on Applied Psychology and Marketing Management (APMM 2024)
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Article Number | 01021 | |
Number of page(s) | 6 | |
Section | Business and Economics | |
DOI | https://doi.org/10.1051/shsconf/202419301021 | |
Published online | 06 June 2024 |
Analysis of the Retention Mechanism of Knowledge Sharing Platforms - Taking Zhihu Platform as an Example
1 College of Economics and Management, Shanghai Ocean University, Shanghai, 200120, China
2 School of International Economics and Trade, Jiangxi University of Finance and Economics, Nanchang, Jiangxi Province, 330013, China
* Corresponding author: mailto:2202201177@stu.jxufe.edu.cn
With the rapid development of the Internet era, it is difficult to distinguish the truth from the falsehood of the massive amount of online information. Due to the improvement of people's material level, spiritual needs and other aspects, the users' desire for knowledge has become stronger and stronger, and knowledge sharing platforms have emerged. This paper aims to deeply analyse the retention mechanism of knowledge sharing platforms to reveal the success factors of knowledge sharing platforms. Based on existing research, this paper discusses the Zhihu platform from multiple dimensions, such as high-quality content, incentive mechanism, speech control, and pushing mechanism. This paper concludes that Zhihu continuously improves the quality of knowledge through cooperation, diversified forms, and technological innovation. User experience is guaranteed through user reach and incentive mechanisms. Regarding speech control, Zhihu balances freedom of speech and legal regulations to ensure the smooth operation of the platform. In the future, this kind of knowledge sharing platform will introduce more science and technology to improve user stickiness. Through a deep understanding of Zhihu's operation mechanism, this paper helps similar platforms understand the leaders' success factors. It provides opinions and improvement experiences for the development of similar platforms.
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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