[Purposes] This study aims to explore the key construction measures for scientific journals to prevent fake websites, and to enhance the ability of Chinese scientific journals to prevent fake websites. [Methods] Searching method was used to investigate 15 preventive technical indicators for the top 100 Chinese scientific journals in "Chinese Science and Technology Journal Citation Reports" (core, 2020 edition). SPSS software was used to construct statistical model for proceeding multifactorial correlation analysis between construction factors for preventing fake website and the number of the fake website. Meanwhile, the relevant results were compared with the research results of the leading journals and key journals in the Excellence Action Plan for China STM Journals. Questionnaire survey was used to investigate the measures taken by some journals of the Excellence Action Plan for China STM Journals to deal with the infringement of fake websites. [Findings] The ranking optimization of Baidu search engine is highly correlated with the decreasing number of the fake websites. The full-text download from the homepage, RSS subscription, website URL showing on WeChat are all correlated with the decreasing number of fake websites to some extent. [Conclusions] Scientific journals should optimize search engine ranking, optimize guidance of new media platform, expand the accessible channels of official website URL, improve the faking difficulty of the service content from homepage, upgrade measures to combat fake websites, and suggest that management departments and national legislatures should crackdown the whole industry chain of fake websites, to prevent infringement of fake websites.
Multifactorial correlation analysis,
Search engine ranking optimization,
Official website certification,
New media publicity