33ce379f4ad2f0c8508b7db8f1341ca8 joumed_a2021v2n4p830.pdf 6983259ea3dc7f89901f8c33cc571396d311a70c joumed_a2021v2n4p830.pdf b2f5df0c2fc867b02d37b3e9e7f3dc19d8af572c40d10ccba9fbc079ffe7fefb joumed_a2021v2n4p830.pdf Title: Exo Journalism: A Conceptual Approach to a Hybrid Formula between Journalism and Artificial Intelligence Subject: The irruption of artificial intelligence (AI) and automated technology has substantially changed the journalistic profession, transforming the way of capturing, processing, generating, and distributing information; empowering the work of journalists by modifying the routines and knowledge required by information professionals. This study, which conceptualizes the “exo journalism” on the basis of the impact of AI on the journalism industry, is part of a research project of the Observatory for Information Innovation in the Digital Society (OI2). The results, derived from documentary research supported by case studies and in-depth interviews, propose that AI is a source of innovation and personalization of journalistic content and that it can contribute to the improvement of professional practice, allowing the emergence of a kind of "exo journalist", a conceptual proposal that connects the possibilities of AI with the needs of journalism’s own productive routines. The end result is the enhancement of the journalist’s skills and the improvement of the news product. The research focuses on conceptualizing a kind of support and complement for journalists in the performance of their tasks based on the possibilities of AI in the automatic generation of content and data verification. Keywords: artificial intelligence; journalism; innovation; automation Author: Santiago Tejedor and Pere Vila Creator: LaTeX with hyperref Producer: pdfTeX-1.40.21 CreationDate: Mon Dec 20 02:48:46 2021 CET ModDate: Tue Dec 21 10:39:34 2021 CET Tagged: no UserProperties: no Suspects: no Form: none JavaScript: no Pages: 11 Encrypted: no Page size: 595.276 x 841.89 pts (A4) Page rot: 0 File size: 383500 bytes Optimized: no PDF version: 1.7 name type encoding emb sub uni object ID ------------------------------------ ----------------- ---------------- --- --- --- --------- BFLDAW+URWPalladioL-Ital Type 1 Custom yes yes no 10 0 KKGXMO+URWPalladioL-Bold Type 1 Custom yes yes no 15 0 OBWHHL+URWPalladioL-Roma Type 1 Custom yes yes no 19 0 AZYEXF+VnURWPalladioL Type 1 Custom yes yes no 23 0 MCBCCI+SourceSansRoman-Regular Type 1C Custom yes yes no 60 0 MCBCCM+SourceSansRoman.613wght Type 1C Custom yes yes no 64 0 MCBCCO+SourceSansRoman-Bold Type 1C Custom yes yes no 68 0 GFAWRG+CMSY10 Type 1 Builtin yes yes no 83 0 JBTTSN+VnURWPalladioL-Italic Type 1 Custom yes yes no 112 0 Jhove (Rel. 1.22.1, 2019-04-17) Date: 2022-02-22 02:28:28 CET RepresentationInformation: joumed_a2021v2n4p830.pdf ReportingModule: PDF-hul, Rel. 1.12.1 (2019-04-17) LastModified: 2022-02-21 12:46:10 CET Size: 383500 Format: PDF Version: 1.7 Status: Well-Formed and valid SignatureMatches: PDF-hul MIMEtype: application/pdf PDFMetadata: Objects: 249 FreeObjects: 1 IncrementalUpdates: 0 DocumentCatalog: PageLayout: SinglePage PageMode: UseNone Outlines: Item: Title: Introduction Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@7b69c6ba Item: Title: Framework Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@46daef40 Item: Title: Results Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@12f41634 Item: Title: Discussion Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@13c27452 Item: Title: Materials and Methods Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@262b2c86 Item: Title: Conclusions Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@371a67ec Item: Title: References Destination: edu.harvard.hul.ois.jhove.module.pdf.PdfSimpleObject@5ed828d Info: Title: Exo Journalism: A Conceptual Approach to a Hybrid Formula between Journalism and Artificial Intelligence Author: Santiago Tejedor and Pere Vila Subject: The irruption of artificial intelligence (AI) and automated technology has substantially changed the journalistic profession, transforming the way of capturing, processing, generating, and distributing information; empowering the work of journalists by modifying the routines and knowledge required by information professionals. This study, which conceptualizes the “exo journalism” on the basis of the impact of AI on the journalism industry, is part of a research project of the Observatory for Information Innovation in the Digital Society (OI2). The results, derived from documentary research supported by case studies and in-depth interviews, propose that AI is a source of innovation and personalization of journalistic content and that it can contribute to the improvement of professional practice, allowing the emergence of a kind of "exo journalist", a conceptual proposal that connects the possibilities of AI with the needs of journalism’s own productive routines. The end result is the enhancement of the journalist’s skills and the improvement of the news product. The research focuses on conceptualizing a kind of support and complement for journalists in the performance of their tasks based on the possibilities of AI in the automatic generation of content and data verification. 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