Despite the extraordinary work produced by publications around the world, some recent research about the state of data journalism paints a grim picture of the field. Like journalism that relies upon humans as a source, there is no global consensus that the purpose of data journalism is to inform the public about governance issues, reveal corruption, or hold powerful institutions accountable. The growing diversity in the practice has opened new “scrappier” models for data journalism with a more explicit public interest mission in countries where small teams of data journalists expose blatant inequality and corruption. The Global Editors Network 5 and their annual Data Journalism Awards, the European Investigative Journalism & Dataharvest Conference, 6 the Global Investigative Journalism Conference, 7 and a plethora of smaller country-based data journalism events organised under the auspices of Hacks/Hackers or Schools of Data, are convening communities of data journalism around the world. The data journalism community, traditionally centred around the annual National Institute for Computer-Assisted Reporting 4 (NICAR) conference run by investigative reporters and editors, now hosts a much more cross-border conversation.
The geographic reach of data journalism has grown over the past decade, driven by foundational investments, industry adoption, and grassroots organisations training reporters on the ground.
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Over the past decade, pioneers in the global transparency movement have adopted and adapted principles and practices from the open source software world, where “showing your work” and collaborating around a shared code are important signals for both trust and transparency.Īt their best, journalists are as appropriately sceptical of the open data published by corporations and governments online as they would be of the accounts from human sources. While the data-driven journalism of 2019 is distinguished from what has come before by computers and the internet, journalists have been reporting on data as a source, the most basic definition for “data journalism”, for centuries, printing statistics and tables in pamphlets, tabloids, and newspapers long before “open data” was an idea.Īround the world, a growing number of media organisations are downloading, analysing, and reporting on open data from multiple sources in ways that inform, engage, and empower the public. The computer-assisted reporting of the last century, when the tools and methodologies of social science were first applied to journalism using mainframe and then desktop computers, has been transformed by the rapid public adoption of broadband internet connections, smartphones, open source software and frameworks, and the unprecedented scale of data generation and publication. In “Life in the camps”, 3 Reuters journalists mapped the abhorrent living conditions of refugees, revealing the failures of global diplomacy. Reporters at the Washington Post and The Guardian have created a database of undocumented killings by law enforcement, 2 raising awareness of racial injustice and shaming government agencies into keeping better statistics. Journalists have made opaque financial transactions more visible, catalysing regulatory reform, such as with the International Consortium of Investigative Journalists (ICIJ) 1 collaborative reporting on massive leaks of data. Reporters can transform the raw data into new insights, facilitate public engagement in the democratic process, inform consumers, and hold powerful institutions accountable. Journalists who acquire, clean, analyse, report on, and, in some cases, create open data, now play a key role as public interest watchdogs. Others say it is including statistical data in stories, visualisations, interactive elements, or the application of data science to journalism. Some practitioners consider data journalism to be thoughtful storytelling with data as the centrepiece. In the 21st century, data journalism is now an emerging field of practice around the world, but there is still no universally shared definition. For decades, journalists and media outlets have served and informed the public as a key infomediary for government statistics, academic and scientific research, business information, and their own analysis. The social impact of open data depends upon its use and reuse by different actors across society.
North America, Australia, and New Zealand Development Assistance and Humanitarian Action
expand_more Open Data Sectors and Communities.
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