Fake news in elections: leveraging large language models using semantic analyses to extract insights from academic research.
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| Title: | Fake news in elections: leveraging large language models using semantic analyses to extract insights from academic research. |
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| Authors: | Oprea, Simona-Vasilica1, simona.oprea@csie.ase.ro, Bara, Adela1 |
| Source: | Connection Science; Dec 2025, Vol. 37 Issue 1, p1-17, 17p |
| Database: | Applied Science & Technology Source |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: aci DbLabel: Applied Science & Technology Source An: 190414866 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Fake news in elections: leveraging large language models using semantic analyses to extract insights from academic research. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Oprea%2C+Simona-Vasilica%22">Oprea, Simona-Vasilica</searchLink><relatesTo>1</relatesTo>, <i>simona.oprea@csie.ase.ro</i><br /><searchLink fieldCode="AU" term="%22Bara%2C+Adela%22">Bara, Adela</searchLink><relatesTo>1</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Connection+Science%22">Connection Science</searchLink>; Dec 2025, Vol. 37 Issue 1, p1-17, 17p |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=190414866 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1080/09540091.2025.2587447 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 1 Titles: – TitleFull: Fake news in elections: leveraging large language models using semantic analyses to extract insights from academic research. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Oprea, Simona-Vasilica – PersonEntity: Name: NameFull: Bara, Adela IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec 2025 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 09540091 Numbering: – Type: volume Value: 37 – Type: issue Value: 1 Titles: – TitleFull: Connection Science Type: main |
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