The term crisis of journalism is widely discussed nowadays. This paper examines whether journalism is in crisis, or whether it is a development caused by changes in the digital world. It also examines possible causes of this crisis and transformation in the digital world. One of the main causes of this is a perceived loss of credibility of the information given to the public. Therefore, there is a deeper interpretation of what trust and trustworthiness is and what can dis/trust cause in the society. In the context of the changes which journalism faces today, it describes the transformation of the role of the audience to active self-editor and outlines how the audience must orientate in the news itself. Otherwise, the media focused on earnings will continue to thrive on sensationalism and moral panics that will negatively effect social reality. In the empirical part this paper deals with the case of Břeclav in 2012, which is an exemplary example of moral panic with consequences.

La presente investigación abarca el tema sobre la inteligencia artificial y el periodismo de datos, y sus implicaciones en el aumento de la productividad periodística en el período del 2015-2020, en este sentido, se comprende que, con el auge de la tecnología y el uso de la inteligencia artificial en el contexto del periodismo, ha representado un aspecto importante en términos del periodismo de datos sus implicancias en la producción de las noticias. Para tal fin se planteó como objetivo general: Comprender las implicaciones que tiene la inteligencia artificial en el periodismo de datos en el aumento de la productividad del periodista entre los años 2015-2020, y como objetivos específicos Analizar los teóricos se han encargado de contextualizar el uso de la Inteligencia Artificial en el periodismo de datos entre 2015-2020.Explicar los usos y avances tecnológicos que ha permitido la inteligencia artificial en el periodismo de datos. Develar la importancia de los aspectos de la IA inteligencia artificial y el periodismo de datos en el aumento de la productividad de datos. Establecer las áreas del periodismo que se han beneficiado del uso de la inteligencia artificial, según los constructos teóricos evidenciados entre los años 2015- 2020. Donde se aplicó una metodología desde un enfoque cualitativo, desde una técnica de análisis, se realizó una revisión sistemática de las diferentes fuentes empíricas desde el periodo del 2015 hasta la actualidad. Los instrumentos utilizados fueron una entrevista y un registro de contenidos, que permitieron la construcción de una matriz y una guía de análisis. / This research covers the topic of artificial intelligence and data journalism, and its implications in increasing journalistic productivity in the period of 2015-2020, in this sense, it is understood that, with the rise of technology and The use of artificial intelligence in the context of journalism has represented an important aspect in terms of data journalism, its implications in the production of news. To this end, the general objective was: To understand the implications of artificial intelligence in data journalism in increasing the productivity of the journalist between the years 2015-2020, and as specific objectives Analyze theorists have been in charge of contextualizing the use of Artificial Intelligence in data journalism between 2015-2020. Explain the uses and technological advances that artificial intelligence has allowed in data journalism. Unveil the importance of aspects of AI and data journalism in increasing data productivity. To establish the areas of journalism that have benefited from the use of artificial intelligence, according to the theoretical constructs evidenced between the years 2015-2020. Where a methodology was applied from a qualitative approach, from an analysis technique, a systematic review of the different empirical sources from the period of 2015 to the present. The instruments used were an interview and a content registry, which allowed the construction of a matrix and an analysis guide. / Trabajo de investigación

The fundamental source of data journalism, which has established itself in the Czech media landscape in recent years, is the availability of usable data sets. However, academicians have so far neglected the topic of data openness and its importance in journalistic discourse. Simultaneously, data journalists are often the first to make data available to the public. An integral part of the thesis is mapping the historical development of data journalism, including the phenomenon of open government with a focus on Czech and European legislation and obtaining information with the help of the Freedom of Information Act. The aim of the thesis is, based on in-depth interviews with Czech data journalists, to identify the data sources which they frequently often use in their editorial routines, to evaluate the quality of these sources and to present the main limits that journalists encounter. In the conclusive part of the thesis the author transfers the focus to analysis of the availability of data sources provided by the Ministry of Health and the Institute of Health Information and Statistics during the COVID-19 pandemic in 2020 and 2021 and outlines the process of acquisition, cleaning, analysis, and visualization of information by journalists.