Teaching Data Journalism
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|Title:||Teaching Data Journalism||Authors:||Heravi, Bahareh R.||Permanent link:||http://hdl.handle.net/10197/9271||Date:||4-Oct-2017||Online since:||2018-03-06T13:11:58Z||Abstract:||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.||Type of material:||Book Chapter||Publisher:||Abramis Academic Publishing||Copyright (published version):||2017 Abramis||Keywords:||Data journalism; Data-driven journalism; Data driven journalism||Other versions:||http://www.abramis.co.uk/books/bookdetails.php?id=184549714||Language:||en||Status of Item:||Not peer reviewed||Is part of:||Mair, J., Keeble, R.L., Lucero, M. (eds.). Data Journalism: Past, Present and Future||ISBN:||1845497147|
|Appears in Collections:||Information and Communication Studies Research Collection|
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