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Training teachers means confronting them with challenges that enable them to develop social and technological skills for their future career. This article seeks to understand which social problems teachers draw attention to on Twitter and the educational arguments they put forward to address them in class. The digital sources used were also examined. The sample comprised 574 students of the bachelor's degree in primary education at the University of Seville, and our research was conducted in three phases with two types of coding, open and axial, based on grounded theory. The analysis yielded 19 social problems, 4 levels of complexity of educational arguments, and 12 most frequent sources of information. The findings show a need to develop skills to improve the critical filtering of information obtained from digital media and the communication of social problems that can potentially be used in education. Our conclusions highlight the viability of these activities in promoting social media as tools to further knowledge for teaching. [ABSTRACT FROM AUTHOR]

This article aims to identify the way in which the Netflix platform demonstrates the concept of television flow in its catalog, based on the analysis of the original content of fiction series released in 2019. It also recognizes some programming strategies and techniques that implements this video streaming platform, considering the implications of big data and recommendation systems. The methodology contemplates qualitative and quantitative techniques and applies an analysis matrix based on a manual coding of 157 original fiction series, with variables such as launch date, origin of production, season number, chapters and total minutes released per season. Among the main findings, it is evident that Netflix achieves a television flow with permanent premieres throughout the year, the launch of content by seasons with full chapters, as well as the election of Friday and the spring season for the launch of a greater number of fiction productions. It was also found that, although this streaming service seeks a diversification of the catalog with productions from different countries, the original serial fiction content continues to be mainly of American origin. It is concluded that the programming dynamics in the Netflix catalog creates a television flow to promote intensive consumption in the premieres of original fiction series. The catalog is optimized through data-based decisions and promotes viewing with content recommendation systems that allow the creation of an entire Netflix experience. [ABSTRACT FROM AUTHOR]

New technologies and the era of knowledge have caused the school to cease to hold a monopoly on education and to emerge new models and learning formats. Furthermore, these circumstances have led to a culture of infoxication, disinformation and post-truth. In the network there is no information filter. This context has also favored the creation of new digital textualities based on collective creation. Among them stand out the creepypasta (digital horror stories) as works based on constructive hyperfiction, inspired by urban legends and related to fake news. This research aims to analyze creepypasta as constructions and narrative models in order to take advantage of their potential in formal education. To do this, a corpus of 68 works located in the Suggested Reading section of the affinity space related to these most important texts on the web has been extracted and analyzed: creepypasta. fandom. The results found show that these are metafictional stories that use a great wealth of techniques and narrative resources. Images, documents, news and other document facts are manipulated and resignified. All this positions these texts in a privileged space for the promotion of reading and media and information literacy. [ABSTRACT FROM AUTHOR]

Advertisement in Digital Signage environments demands the enrichment of the classic approach of recommendation focused on individuals by means of the delivery of ads for a group of people observing a public screen. Even though the accuracy that can be achieved in the recommendations is important, the degree of novelty perceived by the users is even more important. This balance can be obtained not only through the improvement of the recommendation algorithms, but also through an adequate multiscreen cooperation scheme. Therefore, this paper proposes an approach for the construction of a recommendations system for Digital Signage environments based on a Smart TV-Smartphone cooperation scheme. [ABSTRACT FROM AUTHOR]