The motivation of this research is the identification and exploratory analysis of journalistic projects implemented with artificial intelligence. Furthermore, the main objective is to determine how the media is implementing artificial intelligence in newsrooms. The methodology employed is scoping review, which involves systematic exploration of grey literature (reports), complemented by a descriptive analysis of the identified journalistic products. Thanks to this work, not only have different journalistic projects supported by AI been analyzed, but their limitations have also been identified. This research concludes with evidence-based contributions to the debate on the current and future effects of AI in the journalism sector, with a focus on ethics.

This study aims to examine the news coverage provided by Google News across five Ibero-American countries, including three from Latin America and two from Europe: Brazil, Colombia, Mexico, Portugal, and Spain. The main focus is to highlight the differences and similarities in news presentation within diverse contexts, evaluating the presence and distribution of news using quantitative indicators, and analyzing the predominant content in each country’s news, based on a dataset collected between January 2 and January 31, 2024. This includes examining news sources, geographic coverage, prominent figures, and the prevalence of sensational elements through the identification of clickbaits. Our research employs statistical analyses and algorithmic solutions in natural language processing and artificial intelligence to generate results. The analyses revealed consistency in the daily delivery ...

This study aims to examine the news coverage provided by Google News across five Ibero-American countries, including three from Latin America and two from Europe: Brazil, Colombia, Mexico, Portugal, and Spain. The main focus is to highlight the differences and similarities in news presentation within diverse contexts, evaluating the presence and distribution of news using quantitative indicators, and analyzing the predominant content in each country’s news, based on a dataset collected between January 2 and January 31, 2024. This includes examining news sources, geographic coverage, prominent figures, and the prevalence of sensational elements through the identification of clickbaits. Our research employs statistical analyses and algorithmic solutions in natural language processing and artificial intelligence to generate results. The analyses revealed consistency in the daily delivery ...

Purpose: The generalized use of the Internet and social networks has promoted new forms of communication and virtual interaction, especially among university students aged 18 to 24, who are heavy users of this technology. In this context, artificial intelligence (AI) and its ability to generate content, such as news, have sparked debate about the veracity of information and the need for responsible consumption to prevent misinformation. In addition, several studies show that excessive use of mobile devices, the Internet and social networks can lead to addiction and that AI-generated texts can be as persuasive as those written by humans. The main objective of this research is to analyze whether there are differences in the emotional and attentional response to journalistic news versus those generated by AI (GPT-4) as a function of gender and level of Internet addiction. Methodology: Socio...