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This research develops an approach to a cartography of competitive research projects on artificial intelligence applied to journalism in Spain granted in the last decade. A query has been made in the database of the State Research Agency, in the section of grants awarded, using as search keywords: robot journalism, algorithmic journalism, automated journalism, computational journalism, augmented journalism, artificial journalism, and high-tech journalism. The findings indicate that 15 competitive projects have been granted between 2013 and 2023. On the methodological level, there is a trend towards documentary analysis work [ABSTRACT FROM AUTHOR]

In this study we analyze the evolution of local news about COVID-19 by examining news articles in social media. In particular, we focus on the analysis of the differences between traditional and online native local newspapers using a dataset of 278,611 Facebook posts. We study the trends of the interest of these media and the corresponding readers. While the overall interest in COVID-19 of traditional local and native online newspapers were similar and high, some differences were observed. Although both local medias showed some fatigue in the final phases, the interest of digital native local media was greater than that of traditional ones. The opposite happened with readers of traditional local media, who showed slightly more interest. Finally, our results showed that the interest of digital native local media and their readers was significantly more paced and similar than that of traditional ones, where readers showed significantly more interest than the media. [ABSTRACT FROM AUTHOR]

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Copyright of Doxa Comunicación is the property of Fundacion Universitaria San Pablo - CEU and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)