Logical starting point and realistic bias of affective value in digital media age based on CiteSpace and clustering algorithm.
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| Title: | Logical starting point and realistic bias of affective value in digital media age based on CiteSpace and clustering algorithm. |
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| Authors: | Tong, Zeyu1 (AUTHOR), Ran, Hua1 (AUTHOR) 00002734@whu.edu.cn |
| Source: | Journal of Computational Methods in Sciences & Engineering (Sage Publications Inc.). Sep2025, Vol. 25 Issue 5, p4074-4089. 16p. |
| Subjects: | Social media, Social constructivism, Clustering algorithms, Digital technology, Knowledge graphs |
| Abstract: | Since digital media have changed the way information is disseminated and even social interaction behavior, the issue of affective value throughout the history of human development has created a divide between constructivist and universalist research. In this process, the focus of affective research has begun to shift towards redefining its connotations and uncovering the productive factors through which its value is expressed. To visually present the research frontiers and hotspots, and classify and analyze the data, various knowledge graphs were drawn using CiteSpace visualization analysis tool. Web of Science was selected as the data source, and K-means algorithm was used for clustering analysis to identify different topics and hotspots in the research field. This study found that affective value in the age of digital media shows a triple bias of social interaction, media memory and neurocognition. When individual affect spread through social media platforms like TikTok, it can escalate quickly, leading to a cascade of significant social events. This has spurred important research avenues into affective value such as organizational dynamics, media functions, and neuroscience. Thus, this paper argues that the tension between affective value and the application of affective value in the governance of digital media space is the main direction to solve the affective conflict or affective cooperation in the current society. This study integrates theories such as evolution theory, social constructivism, and psychoanalysis, providing a comprehensive theoretical framework for the study of emotional values and also having important guiding significance for the design and operation of digital media platforms. [ABSTRACT FROM AUTHOR] |
| Copyright of Journal of Computational Methods in Sciences & Engineering (Sage Publications Inc.) is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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| Header | DbId: egs DbLabel: Engineering Source An: 186643450 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Logical starting point and realistic bias of affective value in digital media age based on CiteSpace and clustering algorithm. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Tong%2C+Zeyu%22">Tong, Zeyu</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Ran%2C+Hua%22">Ran, Hua</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> 00002734@whu.edu.cn</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Journal+of+Computational+Methods+in+Sciences+%26+Engineering+%28Sage+Publications+Inc%2E%29%22">Journal of Computational Methods in Sciences & Engineering (Sage Publications Inc.)</searchLink>. Sep2025, Vol. 25 Issue 5, p4074-4089. 16p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Social+media%22">Social media</searchLink><br /><searchLink fieldCode="DE" term="%22Social+constructivism%22">Social constructivism</searchLink><br /><searchLink fieldCode="DE" term="%22Clustering+algorithms%22">Clustering algorithms</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+technology%22">Digital technology</searchLink><br /><searchLink fieldCode="DE" term="%22Knowledge+graphs%22">Knowledge graphs</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Since digital media have changed the way information is disseminated and even social interaction behavior, the issue of affective value throughout the history of human development has created a divide between constructivist and universalist research. In this process, the focus of affective research has begun to shift towards redefining its connotations and uncovering the productive factors through which its value is expressed. To visually present the research frontiers and hotspots, and classify and analyze the data, various knowledge graphs were drawn using CiteSpace visualization analysis tool. Web of Science was selected as the data source, and K-means algorithm was used for clustering analysis to identify different topics and hotspots in the research field. This study found that affective value in the age of digital media shows a triple bias of social interaction, media memory and neurocognition. When individual affect spread through social media platforms like TikTok, it can escalate quickly, leading to a cascade of significant social events. This has spurred important research avenues into affective value such as organizational dynamics, media functions, and neuroscience. Thus, this paper argues that the tension between affective value and the application of affective value in the governance of digital media space is the main direction to solve the affective conflict or affective cooperation in the current society. This study integrates theories such as evolution theory, social constructivism, and psychoanalysis, providing a comprehensive theoretical framework for the study of emotional values and also having important guiding significance for the design and operation of digital media platforms. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Journal of Computational Methods in Sciences & Engineering (Sage Publications Inc.) is the property of Sage Publications Inc. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1177/14727978251337976 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 16 StartPage: 4074 Subjects: – SubjectFull: Social media Type: general – SubjectFull: Social constructivism Type: general – SubjectFull: Clustering algorithms Type: general – SubjectFull: Digital technology Type: general – SubjectFull: Knowledge graphs Type: general Titles: – TitleFull: Logical starting point and realistic bias of affective value in digital media age based on CiteSpace and clustering algorithm. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Tong, Zeyu – PersonEntity: Name: NameFull: Ran, Hua IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 09 Text: Sep2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 14727978 Numbering: – Type: volume Value: 25 – Type: issue Value: 5 Titles: – TitleFull: Journal of Computational Methods in Sciences & Engineering (Sage Publications Inc.) Type: main |
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