Now showing 1 - 4 of 4
  • Publication
    Proceedings of the European Data and Computational Journalism Conference
    (University College Dublin, 2017-07-06) ; ; ;
    The European Data and Computational Journalism Conference aims to bring together industry, practitioners and academics in the fields of journalism and news production and information, data, social and computer sciences, facilitating a multidisciplinary discussion on these topics in order to advance research and practice in the broad area of Data and Computational Journalism.
  • Publication
    3WS of Data Journalism Education: What, Where and Who?
    (Tayor & Francis, 2018-04-18)
    This paper explores data journalism education, with a particular focus on formal training in the higher education sector globally. The study draws on data from: (1) the 2017 Global Data Journalism Survey, to study the state of data journalism education and the requirements in terms of training and (2) a dataset of 219 unique modules or programmes on data journalism or related fields that were curated and examined in order to understand the nature of data journalism education in universities across the world. The results show that while journalists interested in data are highly educated in journalism or closely related fields, they do not have a strong level of education in the more technical areas of data journalism, such as data analysis, coding and data visualisation. The study further reveals that a high proportion of data journalism courses are concentrated in the United States, with a growing number of courses developing across the world, and particularly in Europe. Despite this, education in the field does not have a strong academic underpinning, and while many courses are emerging in this area, there are not enough academically trained instructors to lead and/or teach such interdisciplinary programmes in the higher education sector.
      1556Scopus© Citations 42
  • Publication
    Patterns in Award Winning Data Storytelling: Story Types, Enabling Tools and Competences
    (Taylor & Francis, 2018-07-03) ;
    Data storytelling is rapidly gaining prominence as a characteristic activity of digital journalism with significant adoption by small and large media houses. While a handful of previous studies have examined what characterises aspects of data storytelling like narratives and visualisation or analysis based on single cases, we are yet to see a systematic effort to harness these available resources to gain better insight into what characterises good data stories and how these are created. This study analysed 44 cases of outstanding data storytelling practices comprising winning entries of the Global Editors Network’s Data Journalism Award from 2013 to 2016 to bridge this knowledge gap. Based on a conceptual model we developed, we uniformly characterised each of the 44 cases and then proceeded to determine types of these stories and the nature of technologies employed in creating them. Our findings refine the traditional typology of data stories from the journalistic perspective and also identify core technologies and tools that appear central to good data journalism practice. We also discuss our findings in relations to the recently published 2017 winning entries. Our results have significant implications for the required competencies for data journalists in contemporary and future newsrooms.
      296Scopus© Citations 67
  • Publication
    Teaching Data Journalism
    (Abramis Academic Publishing, 2017-10-04)
    Data journalism is a relatively new term, yet there are multiple definitions at play. Before we delve into a discussion of data journalism and pedagogy in this chapter, I’ll specify my usage: I define data journalism as finding – in data – stories that are of interest to the public and presenting them in the most appropriate manner for public use and reuse. Similar to any other journalistic work, data journalism puts the tenets of journalism first: it is about the investigation, the story, and communicating that story to the public. In data journalism, data is the source, and computational methods and applications are the tools to aid journalists in their work.