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Teaching Data Journalism
Author(s)
Date Issued
2017-10-04
Date Available
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
Language
English
Status of Item
Not peer reviewed
Journal
Mair, J., Keeble, R.L., Lucero, M. (eds.). Data Journalism: Past, Present and Future
ISBN
1845497147
This item is made available under a Creative Commons License
File(s)
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Name
Teaching_Data_Journalism-Preprint.pdf
Size
3.82 MB
Format
Adobe PDF
Checksum (MD5)
449a876636b971965b11446c5f7f9dfe
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