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Cited by 265

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

Open source and journalism: toward new frameworks for imagining news innovation

Lewis, Seth C, Usher, Nikki·2013·Media, Culture & Society

Abstract

Journalists and technologists increasingly are organizing and collaborating, both formally and informally, across major news organizations and via grassroots networks on an international scale. This intersection of so-called ‘hacks and hackers’ carries with it a shared interest in finding technological solutions for news, particularly through open-source software programming. This article critically evaluates the phenomenon of open source in journalism, offering a theoretical intervention for understanding this phenomenon and its potential implications for newswork. Building on the literature from computer science and journalism, we explore the concept of open source as both a structural framework of distributed development and a cultural framework of pro-social hacker ethics. We identify four values of open-source culture that connect with and depart from journalism—transparency, tinkering, iteration, and participation—and assess their opportunities for rethinking journalism innovation.

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Metadata

Authors
Lewis, S. C., & Usher, N.
Venue
Media, Culture & Society
Published
2013-06-28
Volume
35
Issue
5
Pages
602-619
ISSN
  • 0163-4437 (ISSN-L)
  • 1460-3675
OpenAlex
W2063591256
Cited by
265
References
7
FWCI
52.69
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Open source and journalism: toward new frameworks for imagining news innovation. https://app.cochat.ai/papers/10.1177/0163443713485494
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Lewis, S. C., & Usher, N. (2013). Open source and journalism: toward new frameworks for imagining news innovation. Media, Culture & Society. https://doi.org/10.1177/0163443713485494

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.