"The Data Journalism Handbook provides a rich and panoramic introduction to data journalism, combining both critical reflection and practical insight. It offers a diverse collection of perspectives on how data journalism is done around the world and the broader consequences of datafication in the ne
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ws, serving as both a textbook and a sourcebook for this emerging field. With more than 50 chapters from leading researchers and practitioners of data journalism, it explores the work needed to render technologies and data productive for journalistic purposes. It also gives a "behind the scenes" look at the social lives of data sets, data infrastructures, and data stories in newsrooms, media organizations, start-ups, civil society organizations and beyond." (Publisher description)
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"The guide explores the notion that fake news is not just another type of content that circulates online, but that it is precisely the character of this online circulation and reception that makes something into fake news. In this sense fake news may be considered not just in terms of the form or co
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ntent of the message, but also in terms of the mediating infrastructures, platforms and participatory cultures which facilitate its circulation. In this sense, the significance of fake news cannot be fully understood apart from its circulation online. It is the register of this circulation that also enables us to trace how material that starts its life as niche satire can be repackaged as hyper-partisan clickbait to generate advertising money and then continue life as an illustration of dangerous political misinformation. As a consequence this field guide encourages a shift from focusing on the formal content of fabrications in isolation to understanding the contexts in which they circulate online. This shift points to the limits of a “deficit model” approach – which might imply that fabrications thrive only because of a deficit of factual information. In the guide we suggest new ways of mapping and responding to fake news beyond identifying and fact-checking suspect claims – including “thicker” accounts of circulation as a way to develop a richer understanding of how fake news moves and mobilises people, more nuanced accounts of “fakeness” and responses which are better attuned to the phenomenon." (Page 8)
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"This book is a valuable collection of tips and techniques, covering both data as a source of journalism and as a tool with which the story is told. It starts with a general introduction on the main characteristics of data journalism, gives an insight into its practical relevance in the newsroom, an
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d presents inspiring case studies on elections, riots, school performance, corruption and other issues. It then introduces methods of data sourcing from open data portals, through freedom of information laws, and by crowdsourcing, followed by practical advice on how to extract and interpret information from raw data. The final section on "delivering data" shows how data visualisation helps to tell stories and provides tips on building news apps and feeding open data platforms." (CAMECO Update 2-2012)
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