Knowledge mapping of information cocoons: A bibliometric study using visual analysis

Abstract

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.

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No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 14 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.