Others argue for the importance of empowering marginalised communities to tell their stories (Constantaras), and caution against “digital universalism” and underestimating innovation in the “periphery” (Chan). The third section focuses on how journalists assemble data, including projects on themes such as land conflicts (Shrivastava and Paliwal), air pollution (Naik and Salve) and knife crime (Barr).
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The latest edition explores innovative ways that data is analysed, created, and used in the context of journalism.
It is perhaps also an apt choice, given that several of the contributors convened at one of the first European conferences on data journalism which took place in Amsterdam in 2010. Introduction to data journalism 1) Tools
Thus it might be asked: Which data, whose data and by which means?
The first chapter, What Is Data Journalism?, defines data journalism,
Jonathan Gray, Carolin Gerlitz and Liliana Bounegru, ‘Data infrastructure literacy’, Big Data & Society, 5(2), 2018, pp. An afterword from Noortje Marres reflects on data journalism as a form of reporting from the perspective of digital sociology. by Geoffrey Bowker, Susan Leigh Star, Bill Turner, and Les Gasser (Mahwah, NJ: Erlbaum, 1997), pp. Jonathan Gray and Liliana Bounegru, ‘What a Difference a Dataset Makes? Who has the capacities to benefit from it? Data does not just provide neutral and straightforward representations of the world, but is rather entangled with politics and culture, money and power.
I could answer, simply, that it is journalism done with data.
Cash, Clicks, and Cut and Trys, How can data journalism projects account for the, How can data journalism projects tell stories about big issues at scale (e.g. This includes chapters on teaching data journalism at universities in the US (Phillips); hackathons and bootcamps in Central Asia (Valeeva); and MOOCs and local training initiatives in Turkey (Dag). Such precision requires broadening the scope of the book to include not just the ways in which data is analysed, created and used in the context of journalism but also more about the social, cultural, political and economic circumstances in which such practices are embedded.
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Introduction to data journalism: Taming the numbers As governments and institutions release more data, complex numbers have become an important part of many stories. Thus we may ask, as Noortje Marres recently put it: “What are the methods, materials, techniques and arrangements that we curate in order to create spaces where problems can be addressed differently?”. The seventh section is on organising data journalism, and attends to different types of work in the field which is considered indispensable but not always prominently recognised. The first edition started through a “book sprint” at MozFest in London in 2011, which brought together journalists, technologists, advocacy groups and others in order to write about how data journalism is done. What makes data journalism different to the rest of journalism? Open access funding is supported by a grant from the Netherlands Organisation for Scientific Research (NWO, 324-98-014).
climate change, inequality, multinational taxation, migration) while also, How can data journalism projects tell stories, How can data journalism projects make space for, How might data journalists cultivate and consciously affirm, How can data journalism projects collaborate around transnational issues in ways which, How can data journalism support marginalised communities to use data to, How can data journalism projects develop their own.