Socio-technical Transitions in the AI Innovation Ecosystem: A Multi-layer Network Analysis of News and Academic Discourse

Yeokyung Hwang (), Junseok Hwang () and Junmin Lee ()
Additional contact information
Yeokyung Hwang: Seoul National University
Junseok Hwang: Seoul National University
Junmin Lee: Pusan National University

A chapter in Technology Management for Intelligent, Open and Responsible Organizations and Ecosystems, 2026, pp 21-28 from Springer

Abstract: Abstract As artificial intelligence (AI) rapidly transforms multiple sectors, significant gaps persist between technological advancement and social understanding. This study examines the socio-technical transition dynamics of AI through multi-layer network analysis of news articles and academic papers from 1980–2023. By analysing approximately 800,000 news articles and over 12 million academic papers, we reveal distinct evolutionary patterns between technological and social domains. Academic networks demonstrated stable, incremental knowledge development, while news networks exhibited dynamic reconfiguration reflecting rapid societal adaptations. Our findings highlight the complementary functions within the AI socio-technical system, showing that academic stability ensures sustained technological advancement, while media flexibility enables societal adaptation.

Keywords: Socio-technical transition; Innovation ecosystem; Artificial intelligence; Multi-layer network analysis; Community evolution (search for similar items in EconPapers)
Date: 2026
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-032-23282-3_3

Ordering information: This item can be ordered from
http://www.springer.com/9783032232823

DOI: 10.1007/978-3-032-23282-3_3

Access Statistics for this chapter

More chapters in Springer Proceedings in Business and Economics from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().