How Social Bots Affect Government-Public Interactions in Emerging Science and Technology Communication.
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| Title: | How Social Bots Affect Government-Public Interactions in Emerging Science and Technology Communication. |
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| Authors: | Gong, Xue (AUTHOR), Cai, Meng (AUTHOR), Meng, Xiao (AUTHOR), Yang, Ming (AUTHOR), Wang, Tingwei (AUTHOR) |
| Source: | International Journal of Human-Computer Interaction. Nov2025, Vol. 41 Issue 21, p13319-13334. 16p. |
| Subjects: | Information dissemination, Public opinion, Public relations, ChatGPT, Intelligent agents, Scientific communication, Weibo (Web resource), Microblogs |
| Abstract: | Social bots significantly increased the uncertainty of emerging science and technology (ES&T) information dissemination between the government and the public. We examined how social bots influence the information communication pathways and content between government microblogs and the public in disseminating ES&T. We extracted 163,562 posts in February 2023 on Sina Weibo related to the ChatGPT issue. Time series analysis and structural topic model were used to examine the impact of social bots. Results reveal that social bots have become an informational bridge in government-public communication. During early ES&T dissemination, social bots guided the government microblog agenda (GMA) swiftly and substantially, functioning as an "information through train." Social bots selectively amplified Topic 6 and Topic 10, playing the role of public opinion amplifier. These findings not only provide pathways for the impact of social bots on government-public interaction, but also help promote the rational use of social bots in disseminating ES&T. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of Human-Computer Interaction is the property of Taylor & Francis Ltd 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: | Psychology and Behavioral Sciences Collection |
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| Header | DbId: pbh DbLabel: Psychology and Behavioral Sciences Collection An: 188923557 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: How Social Bots Affect Government-Public Interactions in Emerging Science and Technology Communication. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Gong%2C+Xue%22">Gong, Xue</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Cai%2C+Meng%22">Cai, Meng</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Meng%2C+Xiao%22">Meng, Xiao</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Yang%2C+Ming%22">Yang, Ming</searchLink> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Wang%2C+Tingwei%22">Wang, Tingwei</searchLink> (AUTHOR) – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Human-Computer+Interaction%22">International Journal of Human-Computer Interaction</searchLink>. Nov2025, Vol. 41 Issue 21, p13319-13334. 16p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Information+dissemination%22">Information dissemination</searchLink><br /><searchLink fieldCode="DE" term="%22Public+opinion%22">Public opinion</searchLink><br /><searchLink fieldCode="DE" term="%22Public+relations%22">Public relations</searchLink><br /><searchLink fieldCode="DE" term="%22ChatGPT%22">ChatGPT</searchLink><br /><searchLink fieldCode="DE" term="%22Intelligent+agents%22">Intelligent agents</searchLink><br /><searchLink fieldCode="DE" term="%22Scientific+communication%22">Scientific communication</searchLink><br /><searchLink fieldCode="DE" term="%22Weibo+%28Web+resource%29%22">Weibo (Web resource)</searchLink><br /><searchLink fieldCode="DE" term="%22Microblogs%22">Microblogs</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Social bots significantly increased the uncertainty of emerging science and technology (ES&T) information dissemination between the government and the public. We examined how social bots influence the information communication pathways and content between government microblogs and the public in disseminating ES&T. We extracted 163,562 posts in February 2023 on Sina Weibo related to the ChatGPT issue. Time series analysis and structural topic model were used to examine the impact of social bots. Results reveal that social bots have become an informational bridge in government-public communication. During early ES&T dissemination, social bots guided the government microblog agenda (GMA) swiftly and substantially, functioning as an "information through train." Social bots selectively amplified Topic 6 and Topic 10, playing the role of public opinion amplifier. These findings not only provide pathways for the impact of social bots on government-public interaction, but also help promote the rational use of social bots in disseminating ES&T. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of International Journal of Human-Computer Interaction is the property of Taylor & Francis Ltd 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: 10.1080/10447318.2025.2470292 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 16 StartPage: 13319 Subjects: – SubjectFull: Information dissemination Type: general – SubjectFull: Public opinion Type: general – SubjectFull: Public relations Type: general – SubjectFull: ChatGPT Type: general – SubjectFull: Intelligent agents Type: general – SubjectFull: Scientific communication Type: general – SubjectFull: Weibo (Web resource) Type: general – SubjectFull: Microblogs Type: general Titles: – TitleFull: How Social Bots Affect Government-Public Interactions in Emerging Science and Technology Communication. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Gong, Xue – PersonEntity: Name: NameFull: Cai, Meng – PersonEntity: Name: NameFull: Meng, Xiao – PersonEntity: Name: NameFull: Yang, Ming – PersonEntity: Name: NameFull: Wang, Tingwei IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 11 Text: Nov2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 10447318 Numbering: – Type: volume Value: 41 – Type: issue Value: 21 Titles: – TitleFull: International Journal of Human-Computer Interaction Type: main |
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