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공공누리This item is licensed Korea Open Government License

dc.contributor.author
Oh, Euikyung
dc.contributor.author
Park, Ok Nam
dc.date.accessioned
2024-05-02T09:06:10Z
dc.date.available
2024-05-02T09:06:10Z
dc.date.issued
2023-09-30
dc.identifier.issn
2287-4577
dc.identifier.uri
https://repository.kisti.re.kr/handle/10580/18988
dc.description.abstract
This study explored issues related to the library in the COVID-19 era in YouTube videos in Korea. This study performed social network analysis and topic modeling analysis by collecting 479 YouTube videos, 20,545 words, and 8,379 channels related to COVID-19 and the library from 2019 to 2020. The study results confirmed that YouTube, a social media platform, was used as an important medium to connect users and physical libraries and provide/promote online library services. In the study, major topics and keywords such as quarantine, vlog, and library identity during the COVID-19 pandemic, library services and functions, and introductions and user guides of libraries were derived. Additionally, it was identified that videos about COVID-19 and the library are being produced by various actors (news and media channels, libraries, government agencies, librarians, and individual users). However, the study also identified that the actor network is fragmented through the channel network, showing a low density or weak linkage, and that the centrality of the library in the actor network is weak.
dc.format
application/pdf
dc.language.iso
eng
dc.publisher
Korea Institute of Science and Technology Information
dc.title
Research on the Discourse of Libraries During COVID-19 in YouTube Videos Using Topic Modeling and Social Network Analysis
dc.type
Serial
dc.identifier.doi
https://doi.org/10.1633/JISTaP.2023.11.3.3
dc.contributor.approver
KOAR, ADMIN
dc.date.dateaccepted
2024-05-02T09:06:10Z
dc.date.datesubmitted
2024-05-02T09:06:10Z
dc.subject.keyword
COVID-19
dc.subject.keyword
library
dc.subject.keyword
Youtube
dc.subject.keyword
social media
dc.subject.keyword
network analysis
dc.subject.keyword
topic modeling
Appears in Collections:
8. KISTI 간행물 > JISTaP > Vol. 11 - No. 3
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