Leonardo La Rosa Barrolleta
Biographic Data
| ID | 6658545 |
|---|---|
| NAME | Leonardo La Rosa Barrolleta |
| GIVEN NAMES | Leonardo La Rosa |
| FAMILY NAME | Barrolleta |
| SIGNATURE | BARROLLETA L R |
| AFFILIATIONS | Universidad Carlos III de Madrid |
| ORCID | 0000-0002-9522-4490 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 3 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1970 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 1 |
Capítulo 2. Inteligencia Artificial en el periodismo, el marketing y la publicidad
El presente capítulo presenta un análisis riguroso del impacto de la Inteligencia Artificial Generativa (IAG) en los campos del periodismo, el marketing y la publicidad. El trabajo se enmarca en el auge de herramientas como ChatGPT y los Modelos de Lenguaje Grande (LLMs), que han transformado las dinámicas de producción, difusión y consumo de contenidos en estas disciplinas. El objetivo principal del estudio es identificar las principales líneas …
Secondary education students and media literacy in the age of disinformation
This paper presents an up-to-date overview of how students in Compulsory Secondary Education (ESO) in Spanish public schools, aged between 11 and 16, approach the media, how they inform themselves, the degree of journalistic discrimination they have, and how they deal with the news in times of an infodemic and disinformation. In addition, it explores the opinion of teachers on the media deficits they perceive in their students. The main research …
Big Data as a differentiating sociocultural element of data journalism
The use of methods of the social sciences and computational tools to analyze databases in journalism has had several definitions since Philip Meyer called it precision journalism (PJ). In the last decade, this specialty has had an important development under the term data journalism (DJ), in a differentiating technological and sociocultural environment: Big Data. This research aims to differentiate DJ from PJ and computer assisted reporting (CAR)…
Secondary education students and media literacy in the age of disinformation
This paper presents an up-to-date overview of how students in Compulsory Secondary Education (ESO) in Spanish public schools, aged between 11 and 16, approach the media, how they inform themselves, the degree of journalistic discrimination they have, and how they deal with the news in times of an infodemic and disinformation. In addition, it explores the opinion of teachers on the media deficits they perceive in their students. The main research …
Big Data as a differentiating sociocultural element of data journalism
The use of methods of the social sciences and computational tools to analyze databases in journalism has had several definitions since Philip Meyer called it precision journalism (PJ). In the last decade, this specialty has had an important development under the term data journalism (DJ), in a differentiating technological and sociocultural environment: Big Data. This research aims to differentiate DJ from PJ and computer assisted reporting (CAR)…
Secondary education students and media literacy in the age of disinformation
This paper presents an up-to-date overview of how students in Compulsory Secondary Education (ESO) in Spanish public schools, aged between 11 and 16, approach the media, how they inform themselves, the degree of journalistic discrimination they have, and how they deal with the news in times of an infodemic and disinformation. In addition, it explores the opinion of teachers on the media deficits they perceive in their students. The main research …
Capítulo 2. Inteligencia Artificial en el periodismo, el marketing y la publicidad
El presente capítulo presenta un análisis riguroso del impacto de la Inteligencia Artificial Generativa (IAG) en los campos del periodismo, el marketing y la publicidad. El trabajo se enmarca en el auge de herramientas como ChatGPT y los Modelos de Lenguaje Grande (LLMs), que han transformado las dinámicas de producción, difusión y consumo de contenidos en estas disciplinas. El objetivo principal del estudio es identificar las principales líneas …
Art (2 works) · Communication and COVID-19 Impact (2 works) · Humanities (2 works) · Political science (2 works) · Sociology (2 works) · Advertising and Communication Studies (1 work) · Big data (1 work) · Computer Science (1 work) · Digital literacy in education (1 work) · Disinformation (1 work)