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Cited by 159Journalism and Media StudiesNews Media Framing and Political CommunicationLiterature, Film, and Journalism Analysis

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The Art and Science of Data-Driven Journalism

Open access
Howard, Alexander Benjamin·2014·Columbia University

Abstract

Journalists have been using data in their stories for as long as the profession has existed. A revolution in computing in the 20th century created opportunities for data integration into investigations, as journalists began to bring technology into their work. In the 21st century, a revolution in connectivity is leading the media toward new horizons. The Internet, cloud computing, agile development, mobile devices, and open source software have transformed the practice of journalism, leading to the emergence of a new term: data journalism. Although journalists have been using data in their stories for as long as they have been engaged in reporting, data journalism is more than traditional journalism with more data. Decades after early pioneers successfully applied computer-assisted reporting and social science to investigative journalism, journalists are creating news apps and interactive features that help people understand data, explore it, and act upon the insights derived from it. New business models are emerging in which data is a raw material for profit, impact, and insight, co-created with an audience that was formerly reduced to passive consumption. Journalists around the world are grappling with the excitement and the challenge of telling compelling stories by harnessing the vast quantity of data that our increasingly networked lives, devices, businesses, and governments produce every day. While the potential of data journalism is immense, the pitfalls and challenges…

Overview

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Metadata

Authors
Howard, A. B.
Corresponding author
Howard, Alexander Benjamin
Venue
Columbia University
Publisher
Columbia University
Published
2014
OpenAlex
W2734973206
Cited by
159
References
0
Citations by year
2025: 5 · 2024: 5 · 2023: 21 · 2022: 24 · 2021: 22 · 2020: 14 · 2019: 31 · 2018: 16 · 2017: 4 · 2016: 12 · 2015: 2 · 2014: 3
FWCI
20.62
Type
journal article
Language
en
Open access
Locations
Columbia Academic Commons (Columbia University)
Topics
  • Social Sciences › Communication › Journalism and Media Studies
  • Social Sciences › Communication › News Media Framing and Political Communication
  • Social Sciences › Arts and Humanities › Literature and Literary Theory › Literature, Film, and Journalism Analysis
Keywords
data journalism, computer-assisted reporting, investigative journalism, news apps, interactive journalism, audience co-creation, digital literacy, freedom of the press, digital security, data access, open data, journalism education

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CoChat. (2026). Citation check: The Art and Science of Data-Driven Journalism. https://app.cochat.ai/papers/10.7916/d8q531v1
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Howard, A. B. (2014). The Art and Science of Data-Driven Journalism. Columbia University. https://doi.org/10.7916/d8q531v1

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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.