Abstract: With the popularization of mobile Internet technology, the social and cultural environment provides a favorable communication environment for online news dissemination, leading to a highly ubiquitous phenomenon of group labeling communication events. This study explores the generation, dissemination, and evolution trends of group labeling in the online public opinion environment. This study crawled 20975 initial literature data included in the core database of Web of Science, obtained 9834 valid literature after several rounds of screening, and utilized CiteSpace 6.3 software to do metric data analysis and word frequency analysis on the above valid literature data and successively adopted the Analysis means of literature being co-cited, author co-citation, journal co-citation, keyword co-citation, and clustering to analyze group labeling. We have successively used the Analysis of literature co-citation, author co-citation, journal co-citation, keyword co-citation, clustering, etc., and disassembled the group labeling into the generation environment, dissemination process, and trend evolution. The study utilizes the disciplinary perspective of journalism and communication and social media platforms to assist it. Thus, it summarizes and reveals the interaction of group labels in cyberspace and the natural world and seeks to grasp the communication mechanism of the process of insight into this emerging discursive power.

Jingyi Ju. “Application Citespace Visualization Tool to Online Public Opinion Group Label: Generation, Dissemination and Trends”. International Journal of Advanced Computer Science and Applications (IJACSA) 15.10 (2024). http://dx.doi.org/10.14569/IJACSA.2024.0151065

@article{Ju2024,
title = {Application Citespace Visualization Tool to Online Public Opinion Group Label: Generation, Dissemination and Trends},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2024.0151065},
url = {http://dx.doi.org/10.14569/IJACSA.2024.0151065},
year = {2024},
publisher = {The Science and Information Organization},
volume = {15},
number = {10},
author = {Jingyi Ju}
}