Application of the Delphi methodology to forecast competencies oriented towards AI-driven disinformation detection in an expanded DigComp framework.
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| Title: | Application of the Delphi methodology to forecast competencies oriented towards AI-driven disinformation detection in an expanded DigComp framework. |
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| Authors: | Arribas CM; Department of Audiovisual Communication and Advertising, University Rey Juan Carlos (ROR 01v5cv687), Camino del Molino 5, Fuenlabrada, Madrid 28942, Spain., Arcos R; Department of Audiovisual Communication and Advertising, University Rey Juan Carlos (ROR 01v5cv687), Camino del Molino 5, Fuenlabrada, Madrid 28942, Spain., Gertrudix M; Department of Audiovisual Communication and Advertising, University Rey Juan Carlos (ROR 01v5cv687), Camino del Molino 5, Fuenlabrada, Madrid 28942, Spain. |
| Source: | MethodsX [MethodsX] 2025 Jun 01; Vol. 14, pp. 103401. Date of Electronic Publication: 2025 Jun 01 (Print Publication: 2025). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Elsevier B.V Country of Publication: Netherlands NLM ID: 101639829 Publication Model: eCollection Cited Medium: Print ISSN: 2215-0161 (Print) Linking ISSN: 22150161 NLM ISO Abbreviation: MethodsX Subsets: PubMed not MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 40547887 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Application of the Delphi methodology to forecast competencies oriented towards AI-driven disinformation detection in an expanded DigComp framework. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Arribas+CM%22">Arribas CM</searchLink>; Department of Audiovisual Communication and Advertising, University Rey Juan Carlos (ROR 01v5cv687), Camino del Molino 5, Fuenlabrada, Madrid 28942, Spain.<br /><searchLink fieldCode="AU" term="%22Arcos+R%22">Arcos R</searchLink>; Department of Audiovisual Communication and Advertising, University Rey Juan Carlos (ROR 01v5cv687), Camino del Molino 5, Fuenlabrada, Madrid 28942, Spain.<br /><searchLink fieldCode="AU" term="%22Gertrudix+M%22">Gertrudix M</searchLink>; Department of Audiovisual Communication and Advertising, University Rey Juan Carlos (ROR 01v5cv687), Camino del Molino 5, Fuenlabrada, Madrid 28942, Spain. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101639829%22">MethodsX</searchLink> [MethodsX] 2025 Jun 01; Vol. 14, pp. 103401. <i>Date of Electronic Publication: </i>2025 Jun 01 (<i>Print Publication: </i>2025). – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Elsevier+B%2EV%22">Elsevier B.V </searchLink><i>Country of Publication: </i>Netherlands <i>NLM ID: </i>101639829 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Print <i>ISSN: </i>2215-0161 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2222150161%22">22150161 </searchLink><i>NLM ISO Abbreviation: </i>MethodsX <i>Subsets: </i>PubMed not MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=40547887 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1016/j.mex.2025.103401 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 103401 Titles: – TitleFull: Application of the Delphi methodology to forecast competencies oriented towards AI-driven disinformation detection in an expanded DigComp framework. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Arribas CM – PersonEntity: Name: NameFull: Arcos R – PersonEntity: Name: NameFull: Gertrudix M IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 06 Text: 2025 Jun 01 Type: published Y: 2025 Identifiers: – Type: issn-print Value: 2215-0161 Numbering: – Type: volume Value: 14 Titles: – TitleFull: MethodsX Type: main |
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