Knowra Data journalism Data journalism Data journalism uses data analysis, visualization, and reporting to investigate events, reveal patterns, and explain stories. It combines journalistic verification with methods for collecting and interpreting data.
Data collection : The process of gathering measurements, records, or observations for analysis. Reporting begins by locating and acquiring records that can support or challenge a story.
Computer-assisted reporting : Journalistic reporting that uses computers and quantitative methods to analyze information. Data journalism extends this broader practice with contemporary data tools and visual storytelling.
Investigative journalism : Journalism that uncovers facts of public importance through sustained inquiry and verification. Data analysis can expose patterns and connections that strengthen investigative reporting.
Traditional journalism : Journalism centered on gathering, verifying, and communicating information through reporting and editorial judgment. Data journalism adds systematic quantitative analysis without displacing interviews or other reporting.
Algorithmic accountability : The investigation and oversight of how automated systems affect people and distribute decisions. Data reporting can test the claims and consequences of algorithms used by powerful institutions.
Data cleaning : The detection and correction of errors, inconsistencies, and missing values in datasets. Cleaning exposes defects that could otherwise distort a reported finding.
Public records : Documents and datasets created or held by government agencies and made accessible under law or policy. Public records often provide the documentary evidence for investigations of institutions and policy.
The Panama Papers : A 2016 investigation based on leaked records about offshore financial dealings, coordinated by the International Consortium of Investigative Journalists. Its cross-border analysis of millions of documents became a landmark data-driven investigation.
Computational journalism : The use of computational methods to gather, analyze, and distribute news, sometimes at automated scale. Computational journalism can automate news production, while data journalism often centers on human-led investigation.
Data journalism ethics : Ethical principles for sourcing, analyzing, protecting, and presenting data in journalism. Sensitive records can expose people to harm even when they support a public-interest story.
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