互联网
社会化媒体
计算机科学
领域(数学)
数据科学
知识管理
万维网
数学
纯数学
作者
Chunlai Yan,克之 三浦,Xuegang Luo
标识
DOI:10.1177/09610006231222628
摘要
Providing a systematic and complete knowledge map for researchers in the field of information cocoons, and helps them quickly understand the key knowledge, evolutionary trends and research frontiers. Using bibliometric methods and utilizing CiteSpace, Ucinet, and gCLUTO software, a scientific quantitative, and visual analysis was conducted on 2101 articles (from Web of Science and Scopus data collections) in the field of information cocoons research from 1966 to 2023. The numbers of publication present a rhythm with an exponential function y = 0.2477e 0.1772x . The research hotspots of information cocoons mainly focus on social media and Internet, fake news, selective exposure, cognitive bubble and political polarization, mainly involving the discipline of journalism, communication, computer science, political science, management, sociology, economics. Twitter and Facebook are the most studied social media. The future research trend mainly focuses on rational intervention of misinformation, artificial intelligence personalized algorithm, machine learning, political polarization, personalized perception of recommendation, and the in-depth exploration of influencing factors of information cocoons.
科研通智能强力驱动
Strongly Powered by AbleSci AI