Comparative analysis between artificial and human intelligence in the teaching of higher education journalism studies

Objectives: In order to carry out this research, two objectives have been set: O1) To compare the skills of journalism students with AI in writing report headlines. O2) To recognise the capabilities of AI as a producer of journalistic content. Methods: This research compares the journalistic writing...

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Detalles Bibliográficos
Autores: Miranda Galbe, Jorge, Mateos Abarca, Juan Pablo
Tipo de recurso: artículo
Fecha de publicación:2025
País:España
Institución:Universidad Complutense de Madrid (UCM)
Repositorio:Docta Complutense
Idioma:español
OAI Identifier:oai:docta.ucm.es:20.500.14352/126506
Acceso en línea:https://hdl.handle.net/20.500.14352/126506
Access Level:acceso abierto
Palabra clave:070
316.77
004.8
Inteligencia artificial generativa
Periodismo
Experiencia docente
Estudiantes de periodismo
ChatGPT
Inteligência artificial generativa
Jornalismo
Estudantes de jornalismo
Generative artificial intelligence
Journalism
Teaching experience
Journalism students
Comunicación social
Inteligencia artificial (Informática)
5910.02 Medios de Comunicación de Masas
1203.04 Inteligencia Artificial
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oai_identifier_str oai:docta.ucm.es:20.500.14352/126506
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repository_id_str
spelling Comparative analysis between artificial and human intelligence in the teaching of higher education journalism studiesAnálise comparativa entre a inteligência artificial e a humana no ensino de estudos superiores de jornalismoMiranda Galbe, JorgeMateos Abarca, Juan Pablo070316.77004.8Inteligencia artificial generativaPeriodismoExperiencia docenteEstudiantes de periodismoChatGPTInteligência artificial generativaJornalismoEstudantes de jornalismoGenerative artificial intelligenceJournalismTeaching experienceJournalism studentsComunicación socialInteligencia artificial (Informática)Periodismo5910.02 Medios de Comunicación de Masas1203.04 Inteligencia ArtificialObjectives: In order to carry out this research, two objectives have been set: O1) To compare the skills of journalism students with AI in writing report headlines. O2) To recognise the capabilities of AI as a producer of journalistic content. Methods: This research compares the journalistic writing of journalism students and the IAG. Fourth-year students were asked to produce two entries for a news report: one written by them and one using the IAG through Editmaker, a software developed by Cibeles Group with OpenAI's GPT-3.5 TURBO technology. The analysis included 72 entries, half from students and half from the IAG. Variables such as number of words, use of the 5Ws of journalism, coherence, sentence types, syntactic complexity and voice were evaluated. Results: The analysis shows differences in the entries between students and Generative Artificial Intelligence (GAI). GAI uses, on average, 7.25 words more than students, with averages of 91.94 and 84.69 words, respectively. The dispersion is greater among the students, with the entries varying between 27 and 171 words, while the GIIs range between 44 and 159. Regarding the use of the 5Ws of journalism, the GIIs outperform the students, with an average of 3.67 vs. 3.08. The biggest difference is found in the question "where?", with 22.22% in favour of the IAG. Who?" and "When?" also stand out, with a difference of 11.11%. The IAG answers all 5Ws in at least 50% of the cases, except "when". In contrast, students only exceed 50% for "what?" (97.22%) and "how?" (55.56%). Conclusions: The study shows that, although the differences between students and Generative Artificial Intelligence (GAI) in journalistic headline writing are not large, GAI performs better in all the variables analysed. GAI uses at least 50% of the 5Ws in most of its headlines, while students only reach that frequency in two of the 5Ws. In addition, the IAG is more effective in answering more questions and generating more entertaining texts, with greater variety in tone. KEYWORDS: Generative artificial intelligence. Journalism. Teaching experience. Journalism students. ChatGPT.Universidade Federal de Santa CatarinaUniversidad Complutense de Madrid20252025-01-0120252025-01-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/20.500.14352/126506reponame:Docta Complutenseinstname:Universidad Complutense de Madrid (UCM)Españolspaopen accesshttp://purl.org/coar/access_right/c_abf2info:eu-repo/semantics/openAccessoai:docta.ucm.es:20.500.14352/1265062026-06-02T12:44:21Z
dc.title.none.fl_str_mv Comparative analysis between artificial and human intelligence in the teaching of higher education journalism studies
Análise comparativa entre a inteligência artificial e a humana no ensino de estudos superiores de jornalismo
title Comparative analysis between artificial and human intelligence in the teaching of higher education journalism studies
spellingShingle Comparative analysis between artificial and human intelligence in the teaching of higher education journalism studies
Miranda Galbe, Jorge
070
316.77
004.8
Inteligencia artificial generativa
Periodismo
Experiencia docente
Estudiantes de periodismo
ChatGPT
Inteligência artificial generativa
Jornalismo
Estudantes de jornalismo
Generative artificial intelligence
Journalism
Teaching experience
Journalism students
Comunicación social
Inteligencia artificial (Informática)
Periodismo
5910.02 Medios de Comunicación de Masas
1203.04 Inteligencia Artificial
title_short Comparative analysis between artificial and human intelligence in the teaching of higher education journalism studies
title_full Comparative analysis between artificial and human intelligence in the teaching of higher education journalism studies
title_fullStr Comparative analysis between artificial and human intelligence in the teaching of higher education journalism studies
title_full_unstemmed Comparative analysis between artificial and human intelligence in the teaching of higher education journalism studies
title_sort Comparative analysis between artificial and human intelligence in the teaching of higher education journalism studies
dc.creator.none.fl_str_mv Miranda Galbe, Jorge
Mateos Abarca, Juan Pablo
author Miranda Galbe, Jorge
author_facet Miranda Galbe, Jorge
Mateos Abarca, Juan Pablo
author_role author
author2 Mateos Abarca, Juan Pablo
author2_role author
dc.contributor.none.fl_str_mv Universidad Complutense de Madrid
dc.subject.none.fl_str_mv 070
316.77
004.8
Inteligencia artificial generativa
Periodismo
Experiencia docente
Estudiantes de periodismo
ChatGPT
Inteligência artificial generativa
Jornalismo
Estudantes de jornalismo
Generative artificial intelligence
Journalism
Teaching experience
Journalism students
Comunicación social
Inteligencia artificial (Informática)
Periodismo
5910.02 Medios de Comunicación de Masas
1203.04 Inteligencia Artificial
topic 070
316.77
004.8
Inteligencia artificial generativa
Periodismo
Experiencia docente
Estudiantes de periodismo
ChatGPT
Inteligência artificial generativa
Jornalismo
Estudantes de jornalismo
Generative artificial intelligence
Journalism
Teaching experience
Journalism students
Comunicación social
Inteligencia artificial (Informática)
Periodismo
5910.02 Medios de Comunicación de Masas
1203.04 Inteligencia Artificial
description Objectives: In order to carry out this research, two objectives have been set: O1) To compare the skills of journalism students with AI in writing report headlines. O2) To recognise the capabilities of AI as a producer of journalistic content. Methods: This research compares the journalistic writing of journalism students and the IAG. Fourth-year students were asked to produce two entries for a news report: one written by them and one using the IAG through Editmaker, a software developed by Cibeles Group with OpenAI's GPT-3.5 TURBO technology. The analysis included 72 entries, half from students and half from the IAG. Variables such as number of words, use of the 5Ws of journalism, coherence, sentence types, syntactic complexity and voice were evaluated. Results: The analysis shows differences in the entries between students and Generative Artificial Intelligence (GAI). GAI uses, on average, 7.25 words more than students, with averages of 91.94 and 84.69 words, respectively. The dispersion is greater among the students, with the entries varying between 27 and 171 words, while the GIIs range between 44 and 159. Regarding the use of the 5Ws of journalism, the GIIs outperform the students, with an average of 3.67 vs. 3.08. The biggest difference is found in the question "where?", with 22.22% in favour of the IAG. Who?" and "When?" also stand out, with a difference of 11.11%. The IAG answers all 5Ws in at least 50% of the cases, except "when". In contrast, students only exceed 50% for "what?" (97.22%) and "how?" (55.56%). Conclusions: The study shows that, although the differences between students and Generative Artificial Intelligence (GAI) in journalistic headline writing are not large, GAI performs better in all the variables analysed. GAI uses at least 50% of the 5Ws in most of its headlines, while students only reach that frequency in two of the 5Ws. In addition, the IAG is more effective in answering more questions and generating more entertaining texts, with greater variety in tone. KEYWORDS: Generative artificial intelligence. Journalism. Teaching experience. Journalism students. ChatGPT.
publishDate 2025
dc.date.none.fl_str_mv 2025
2025-01-01
2025
2025-01-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/20.500.14352/126506
url https://hdl.handle.net/20.500.14352/126506
dc.language.none.fl_str_mv Español
spa
language_invalid_str_mv Español
language spa
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal de Santa Catarina
publisher.none.fl_str_mv Universidade Federal de Santa Catarina
dc.source.none.fl_str_mv reponame:Docta Complutense
instname:Universidad Complutense de Madrid (UCM)
instname_str Universidad Complutense de Madrid (UCM)
reponame_str Docta Complutense
collection Docta Complutense
repository.name.fl_str_mv
repository.mail.fl_str_mv
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