Abstract
Purpose As human beings step into the age of information network, big data technology is constantly improving the intelligence level of various agents such as individuals and enterprises. The crowd decision-making of the intellectual community plays an important role in the active participation of many individuals and schools in giving their wisdom, effectively solve the problems of negative internet communication, single publicity media and unprofessional promotion team in WeChat public account. Design/methodology/approach This paper aims to optimize the content and improve the effectiveness of network ideological and political education in universities. This study analyzes five highly popular WeChat public accounts at the Central University of Finance and Economics in 2019. It obtains the popularity index of tweets using the WeChat communication index algorithm and finds that the important factors that influence tweet popularity are release time and content value. Findings To improve the public account tweets, this study highlights the connection between the tweets’ value and students’ emotional needs, which enhances the value of tweet content in students’ life and provides more original and distinctive content. Originality/value This study found that the content and interest of college students are tweet time, tweet value and tweet content. Therefore, the public account of college ideological and political education should be improved from the following three aspects: realizing the connection between the value of tweet content and students’ emotional needs; enhancing the value of tweet content in students’ life and learning; and insisting on the original and distinctive original intention of tweet content.
Highlights
As human beings step into the age of information network, big data technology is constantly improving the intelligence level of various agents such as individuals and enterprises
This study found that the content and interest of college students are tweet time, tweet value and tweet content
According to the setting of the WeChat communication index (WCI) algorithm, the attention to WeChat content is reported in the reading index, WCI(R); the response rate is represented in the thumbs-up index, WCI(Z); and the WCI calculated by weight reflects the “heat.” The attention and response rate of college students to the content of network education are important measures of the effectiveness of network education (Teresi Jeanne A,2016)
Summary
As human beings step into the age of information network, big data technology is constantly improving the intelligence level of various agents such as individuals and enterprises. This study analyzes five highly popular WeChat public accounts at the Central University of Finance and Economics in 2019 It obtains the popularity index of tweets using the WeChat communication index algorithm and finds that the important factors that influence tweet popularity are release time and content value. To improve the public account tweets, this study highlights the connection between the tweets’ value and students’ emotional needs, which enhances the value of tweet content in students’ life and provides more original and distinctive content. The public account of college ideological and political education should be improved from the following three aspects: realizing the connection between the value of tweet content and students’ emotional needs; enhancing the value of tweet content in students’ life and learning; and insisting on the original and distinctive original intention of tweet content. The full terms of this licence may be seen at http://creativecommons.org/ licences/by/4.0/legalcode
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