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Teaching Data Journalism

Author(s)
Heravi, Bahareh R.  
Uri
http://hdl.handle.net/10197/9271
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
Subjects

Data journalism

Data-driven journalis...

Data driven journalis...

Web versions
http://www.abramis.co.uk/books/bookdetails.php?id=184549714
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Not peer reviewed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
https://creativecommons.org/licenses/by-nc-nd/3.0/ie/
File(s)
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Name

Teaching_Data_Journalism-Preprint.pdf

Size

3.82 MB

Format

Adobe PDF

Checksum (MD5)

449a876636b971965b11446c5f7f9dfe

Owning collection
Information and Communication Studies Research Collection

Item descriptive metadata is released under a CC-0 (public domain) license: https://creativecommons.org/public-domain/cc0/.
All other content is subject to copyright.

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