TY - JOUR A1 - Morini, Francesca A1 - Dörk, Marian A1 - Appelgren, Ester T1 - Sensing what’s new : considering ethics when using sensor data in journalistic practices JF - Digital Journalism N2 - As data are becoming increasingly central to journalistic practice, a number of technology-driven approaches are emerging among data journalists. This article focuses on sensor journalism, which brings new practical and ethical concerns to journalism. By interviewing and working with data journalists and journalism scholars, we analyze the new technological and ethical challenges that sensors bring to journalism. The results contribute to the knowledge on how data journalists implicitly embed ethical values into their everyday work. Furthermore, they suggest that general ethical values are revisited and extended by the influence of sensors. KW - Journalismus KW - Daten KW - Ethik KW - Datenanalyse KW - Sensor Y1 - 2023 U6 - https://doi.org/10.1080/21670811.2022.2134161 SN - 2167-082X VL - 11 IS - 3 SP - 465 EP - 483 PB - Routledge, Taylor & Francis Group CY - London ER - TY - JOUR A1 - Morini, Francesca T1 - Data journalism as “terra incognita”: newcomers’ tensions in shifting towards data journalism epistemology JF - Journalism Practice N2 - This article investigates data journalism epistemology through Michel Foucault’s definition of power. The growing demand for data-savvy reporters with computational skills has been proven to shift the newsrooms’ culture in media companies across the globe. Previous research has documented journalists’ shift towards a data-centred epistemology and the increasingly important role of computation and data-driven practices in newsrooms. By focusing on inexperienced journalists as they mobilise data journalism for the first time, this research openly discusses its epistemology as a form of Foucauldian power: which epistemological tensions – individual or structural – emerge among newcomers when reporting extensively with data? The article presents the case of a newly formed data journalism team at taz, a German cooperative media company. It is based on qualitative data collected through action research, namely six in-depth interviews, auto-ethnographic notes and self-reflective inquiries. Data are framed through Foucault’s concepts of power and will to truth. Results show the discord between data journalism epistemology and its practical implementation. Despite prioritising democratic access to data, technologies and non-hierarchical forms of cooperation, data journalism remains largely dependent on traditional methods and culture. KW - Journalismus KW - Daten KW - Datenanalyse KW - Transdisziplinarität KW - Erkenntnistheorie KW - Data journalism Y1 - 2023 U6 - https://doi.org/10.1080/17512786.2023.2185656 SN - 1751-2786 SP - 1 EP - 17 PB - Routledge, Taylor & Francis CY - London ER - TY - CHAP A1 - Garreton, M. A1 - Morini, Francesca A1 - Paz Moyano, D. A1 - Grün, G.-C. A1 - Parra, D. A1 - Dörk, Marian T1 - Data Stories of Water BT - Studying the Communicative Role of Data Visualizations within Long‐form Journalism T2 - Computer graphics forum N2 - We present a methodology for making sense of the communicative role of data visualizations in journalistic storytelling and share findings from surveying water-related data stories. Data stories are a genre of long-form journalism that integrate text, data visualization, and other visual expressions (e.g., photographs, illustrations, videos) for the purpose of data-driven storytelling. In the last decade, a considerable number of data stories about a wide range of topics have been published worldwide. Authors use a variety of techniques to make complex phenomena comprehensible and use visualizations as communicative devices that shape the understanding of a given topic. Despite the popularity of data stories, we, as scholars, still lack a methodological framework for assessing the communicative role of visualizations in data stories. To this extent, we draw from data journalism, visual culture, and multimodality studies to propose an interpretative framework in six stages. The process begins with the analysis of content blocks and framing elements and ends with the identification of dimensions, patterns, and relationships between textual and visual elements. The framework is put to the test by analyzing 17 data stories about water-related issues. Our observations from the survey illustrate how data visualizations can shape the framing of complex topics. KW - Journalismus KW - Daten KW - Erzählen KW - Visualisierung KW - Methode KW - Datengeschichte Y1 - 2023 U6 - https://doi.org/10.1111/cgf.14815 SN - 1467-8659 N1 - Eurographics Conference on Visualization 25; June 12 – 16, 2023 in Leipzig, Germany VL - 42 IS - 3 SP - 99 EP - 110 PB - Wiley-Blackwell CY - Oxford ER -