Challenges for communication managers: artificial intelligence and reputation management

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The present study analyzes the challenges faced by communication managers in strategically managing their clients’ reputations in an environment where artificial intelligence (AI) and Deepfakes are on the rise. A qualitative approach with an ethnographic design is employed. Semi-structured interview...

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Detalles Bibliográficos
Autores: Olivos-Farfán, Gabriela, Guillén-Arruda, Claudia, Chávez-Chuquimango, María
Formato: artículo
Fecha de Publicación:2024
Institución:Universidad Peruana de Ciencias Aplicadas
Repositorio:UPC-Institucional
Lenguaje:español
OAI Identifier:oai:repositorioacademico.upc.edu.pe:10757/676371
Enlace del recurso:http://hdl.handle.net/10757/676371
Nivel de acceso:acceso embargado
Materia:artificial intelligence
Communication
reputation
strategic management
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dc.title.es_PE.fl_str_mv Challenges for communication managers: artificial intelligence and reputation management
title Challenges for communication managers: artificial intelligence and reputation management
spellingShingle Challenges for communication managers: artificial intelligence and reputation management
Olivos-Farfán, Gabriela
artificial intelligence
Communication
reputation
strategic management
title_short Challenges for communication managers: artificial intelligence and reputation management
title_full Challenges for communication managers: artificial intelligence and reputation management
title_fullStr Challenges for communication managers: artificial intelligence and reputation management
title_full_unstemmed Challenges for communication managers: artificial intelligence and reputation management
title_sort Challenges for communication managers: artificial intelligence and reputation management
author Olivos-Farfán, Gabriela
author_facet Olivos-Farfán, Gabriela
Guillén-Arruda, Claudia
Chávez-Chuquimango, María
author_role author
author2 Guillén-Arruda, Claudia
Chávez-Chuquimango, María
author2_role author
author
dc.contributor.author.fl_str_mv Olivos-Farfán, Gabriela
Guillén-Arruda, Claudia
Chávez-Chuquimango, María
dc.subject.es_PE.fl_str_mv artificial intelligence
Communication
reputation
strategic management
topic artificial intelligence
Communication
reputation
strategic management
description The present study analyzes the challenges faced by communication managers in strategically managing their clients’ reputations in an environment where artificial intelligence (AI) and Deepfakes are on the rise. A qualitative approach with an ethnographic design is employed. Semi-structured interviews are applied with ten directors of communication agencies in Lima, Peru. For the analysis of results, a thematic analysis was developed to understand in depth their perspectives, strategies and challenges in relation to reputation management in the face of the propagation of AI-generated content. As a result, there is evidence of a lack of planning to address the emerging problem due to the lack of specific cases linked to Deepfakes, which has limited the preparation for possible crises, highlighting the need to anticipate potential scenarios for an effective response. Risks and challenges are identified, highlighting the importance of a solid reputation for clients and the management of a crisis plan.
publishDate 2024
dc.date.accessioned.none.fl_str_mv 2024-11-02T20:27:28Z
dc.date.available.none.fl_str_mv 2024-11-02T20:27:28Z
dc.date.issued.fl_str_mv 2024-01-01
dc.type.es_PE.fl_str_mv info:eu-repo/semantics/article
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dc.identifier.issn.none.fl_str_mv 16469895
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10757/676371
dc.identifier.journal.es_PE.fl_str_mv RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao
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dc.source.none.fl_str_mv reponame:UPC-Institucional
instname:Universidad Peruana de Ciencias Aplicadas
instacron:UPC
instname_str Universidad Peruana de Ciencias Aplicadas
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dc.source.journaltitle.none.fl_str_mv RISTI - Revista Iberica de Sistemas e Tecnologias de Informacao
dc.source.volume.none.fl_str_mv 2024
dc.source.issue.none.fl_str_mv E69
dc.source.beginpage.none.fl_str_mv 11
dc.source.endpage.none.fl_str_mv 19
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