Chernobrov, D. orcid.org/0000-0002-6598-0412 (2018) Digital volunteer networks and humanitarian crisis reporting. Digital Journalism, 6 (7). pp. 928-944. ISSN 2167-0811
Abstract
Digital technologies and big data are rapidly transforming humanitarian crisis response and changing the traditional roles and powers of its actors. This article looks at a particular aspect of this transformation – the appearance of digital volunteer networks – and explores their potential to act as a new source for media coverage, in addition to their already established role as emergency response supporters. I argue that digital humanitarians can offer a unique combination of speed and safe access, while escaping some of the traditional constraints of the aid-media relationship and exceeding the conventional conceptualizations of citizen journalism. Journalists can find both challenges and opportunities in the environment where multiple crisis actors are assuming some of the media roles. The article draws on interviews with humanitarian organizations, journalists, and digital volunteer networks about their understanding of digital humanitarian communication and its significance for media coverage of crises.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2018 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
Keywords: | digital humanitarianism; digital volunteers; crowdsourcing; media; citizen journalism; humanitarian crisis; crisis informatics; big crisis data |
Dates: |
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Institution: | The University of Sheffield |
Academic Units: | The University of Sheffield > Faculty of Social Sciences (Sheffield) > Department of Journalism Studies (Sheffield) |
Depositing User: | Symplectic Sheffield |
Date Deposited: | 26 Apr 2018 08:41 |
Last Modified: | 18 Nov 2020 08:00 |
Status: | Published |
Publisher: | Taylor & Francis |
Refereed: | Yes |
Identification Number: | 10.1080/21670811.2018.1462666 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:129979 |