Thematic Evolution and Knowledge Landscape of AI and New Media Research (2016–2026)

A Bibliometric Analysis Based on CiteSpace

DOI

10.2991/978-2-38476-597-3_53How to use a DOI?

Keywords

artificial intelligence; new media; CiteSpace; bibliometric visualization

Abstract

The present moment is of particular significance for AI and new media research, as as the field undergoes substantial technological transformation and paradigm reconstruction. Anchored in the Technology–Organization–Environment (TOE) framework and employing CiteSpace bibliometric visualization, the study analyzes 168 core CSSCI articles from 2016 to 2026. The findings reveal three developmental phases: the rapid emergence phase (2016-2018), the in-depth consolidation phase (2019-2023), and the renewed growth phase (2024-present). Research trends have undergone a sequential shift, moving initially from “artificial intelligence” and “central kitchen” to “short-form video,” and most recently to “large language models.” Four core thematic domains have come to the fore: the transformation of human-machine relations, the systemic reform of mainstream media, technology empowerment and industry restructuring, and the governance of intelligent communication. Theoretically, this study delineates the evolutionary characteristics of human–machine relations over the decade and validates the applicability of the TOE framework to intelligent communication research. In practice, it provides a reference point for tracking academic frontiers, guiding media digital transformation, and optimizing intelligent governance policy.

Copyright

© 2026 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Yang Zhang
PY  - 2026
DA  - 2026/07/13
TI  - Thematic Evolution and Knowledge Landscape of AI and New Media Research (2016–2026)
BT  - Proceedings of the 4th International Conference on Language and Cultural Communication (ICLCC 2026)
PB  - Atlantis Press
SP  - 491
EP  - 500
SN  - 2352-5398
UR  - https://doi.org/10.2991/978-2-38476-597-3_53
DO  - 10.2991/978-2-38476-597-3_53
ID  - Zhang2026
ER  -