Expression Characteristics and Generation Logic of Citizens' National Identity in the Dissemination of Major Scientific and Technological Achievement News: Analysis of Comments of Short Video Based on ROST CM 6.0 Software. (English)
In: Journal of Yangtze Normal University, Jg. 39 (2023-09-01), Heft 5, S. 65-74
academicJournal
Zugriff:
Short videos provide a new medium for disseminating news about significant scientific and technological achievements, and the comments in their sections reflect the psychological and emotional tendencies of the audience. Regarding this, based on three representative government TikTok accounts, the ROST CM 6.0 software was used to analyze the relevant comments on the news of significant scientific and technological achievements. The research discovered that when expressing their personal feelings, commenters exhibited a strong sense of national identification. The high-frequency vocabulary in the comments primarily pertains to expressions about the national community, emotions, identity recognition, and acknowledgment of scientific and technological achievements; the primary emotional tendency was positive, accounting for 88.84% of all comments; "China" and" motherland" were the keywords, most often associated with emotional verbs and scientific terms. Based on a further refinement of high-frequency words and an overall analysis of comment semantics, we propose that in the dissemination of news about significant scientific and technological achievements, the collective memory evoked by technology, the moral qualities of scientific workers, and the progress and innovation of scientific achievements are the core factors in generating citizens' identification with the nation. [ABSTRACT FROM AUTHOR]
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Titel: |
Expression Characteristics and Generation Logic of Citizens' National Identity in the Dissemination of Major Scientific and Technological Achievement News: Analysis of Comments of Short Video Based on ROST CM 6.0 Software. (English)
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Autor/in / Beteiligte Person: | Hong-Hao, JIA ; Xiang-Shen, WANG |
Zeitschrift: | Journal of Yangtze Normal University, Jg. 39 (2023-09-01), Heft 5, S. 65-74 |
Veröffentlichung: | 2023 |
Medientyp: | academicJournal |
ISSN: | 1674-3652 (print) |
DOI: | 10.19933/j.cnki.ISSN1674-3652.2023.05.008 |
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