<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Network virtual information is complex and ever-changing, and people’s value orientation and way of thinking are unknowingly assimilated into multiple network scenarios. In order to fully analyze the discourse evolution of ideological and political education, this paper proposes a methodology for early warning and assessment of public opinion on the Internet in colleges and universities. Firstly, the risk assessment index system for university network public opinion is constructed, and different types of events related to university network public opinion are selected for analysis. The risk assessment index weights are calculated using the entropy weight method. The closeness was computed using the TOPSIS method, and the gray correlation coefficient and degree were calculated according to the gray correlation theory. The risk assessment level is classified using the k-means clustering algorithm. Among the risk assessment indexes of university online public opinion, the most influential index on the risk of university online public opinion is the amount of original participation of public opinion, and the weight of this index is 0.12. The second index is the attention of the public opinion publisher and the index of the publisher’s attention, and the weights are 0.114 and 0.11, respectively. Among the six university online public opinion events, the closeness is the highest one of event 6, which is 0.5872, and the grey correlation coefficients are 0.4395, 0.4072, 0.4952, 0.3864, 0.5321, and 0.6412. The results of the events evaluated through the college’s online public opinion early warning match the degree of influence of the actual public opinion, which indicates that the method can accurately predict public opinion. Colleges and universities can formulate targeted strategies according to the risk level and the factors that have an important impact on the development of public opinion to prevent the discourse of ideological education in colleges and universities from developing in a negative direction.</p>
</abstract>

Network virtual information is complex and ever-changing, and people’s value orientation and way of thinking are unknowingly assimilated into multiple network scenarios. In order to fully analyze the discourse evolution of ideological and political education, this paper proposes a methodology for early warning and assessment of public opinion on the Internet in colleges and universities. Firstly, the risk assessment index system for university network public opinion is constructed, and different types of events related to university network public opinion are selected for analysis. The risk assessment index weights are calculated using the entropy weight method. The closeness was computed using the TOPSIS method, and the gray correlation coefficient and degree were calculated according to the gray correlation theory. The risk assessment level is classified using the k-means clustering algorithm. Among the risk assessment indexes of university online public opinion, the most influential index on the risk of university online public opinion is the amount of original participation of public opinion, and the weight of this index is 0.12. The second index is the attention of the public opinion publisher and the index of the publisher’s attention, and the weights are 0.114 and 0.11, respectively. Among the six university online public opinion events, the closeness is the highest one of event 6, which is 0.5872, and the grey correlation coefficients are 0.4395, 0.4072, 0.4952, 0.3864, 0.5321, and 0.6412. The results of the events evaluated through the college’s online public opinion early warning match the degree of influence of the actual public opinion, which indicates that the method can accurately predict public opinion. Colleges and universities can formulate targeted strategies according to the risk level and the factors that have an important impact on the development of public opinion to prevent the discourse of ideological education in colleges and universities from developing in a negative direction.

Study on the Development Trend of Ideological and Political Education Discourse in Colleges and Universities in the Age of Network Media

Applied Mathematics and Nonlinear Sciences

This work is licensed under the Creative Commons Attribution 4.0 International License.

Network virtual information is complex and ever-changing, and people’s value orientation and way of thinking are unknowingly assimilated into multiple network...

Study on the Development Trend of Ideological and Political Education Discourse in Colleges and Universities in the Age of Network Media

Publicado en línea: 09 jul 2024

Páginas: -

Recibido: 19 mar 2024

Aceptado: 14 jun 2024

DOI: https://doi.org/10.2478/amns-2024-1805

Palabras clave
Entropy weight method, Gray association theory, K-means clustering algorithm, Political education discourse

© 2024 Wenting Qiu., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Study on the Development Trend of Ideological and Political Education Discourse in Colleges and Universities in the Age of Network Media

Publicado en línea: 09 jul 2024

Páginas: -

Recibido: 19 mar 2024

Aceptado: 14 jun 2024

DOI: https://doi.org/10.2478/amns-2024-1805

Palabras claveEntropy weight method, Gray association theory, K-means clustering algorithm, Political education discourse

© 2024 Wenting Qiu., published by Sciendo

This work is licensed under the Creative Commons Attribution 4.0 International License.

Palabras clave
Entropy weight method, Gray association theory, K-means clustering algorithm, Political education discourse