Data journalism

Home > Journalism > Data journalism

The study of journalism that focuses on researching, analyzing, and presenting data to tell a news story.

Data Sources: Understanding the sources of data that can be used for journalism, including government data, social media, and other datasets.
Data Cleaning: The process of cleaning and preparing data for analysis, including dealing with missing values and outliers.
Text Mining: The use of software to extract insights from large amounts of text data, such as news articles.
Data Visualization: Creating charts, graphs, and other visualizations to help communicate data insights to audiences.
Statistical Analysis: Understanding basic statistical concepts and methods for analyzing large datasets.
Ethical Considerations: Understanding the ethical implications of data journalism and how to handle sensitive data.
Data Privacy: Understanding the legal and ethical considerations around data privacy, including how to keep sources safe.
Data Storytelling: The art of using data to tell compelling stories that resonate with audiences.
Data Journalism Tools: Understanding the various tools and technologies available for data journalism, including statistical software, data visualization tools, and more.
Data Analysis Techniques: Understanding the techniques used to analyze data, including regression, clustering, and machine learning algorithms.
- Quote: "Data journalism or data-driven journalism (DDJ) is journalism based on the filtering and analysis of large data sets for the purpose of creating or elevating a news story."
- Quote: "Data journalism reflects the increased role of numerical data in the production and distribution of information in the digital era."
- Quote: "It involves a blending of journalism with other fields such as data visualization, computer science, and statistics, 'an overlapping set of competencies drawn from disparate fields'."
- Quote: "Many data-driven stories begin with newly available resources such as open source software, open access publishing and open data, while others are products of public records requests or leaked materials."
- Quote: "This approach to journalism builds on older practices, most notably computer-assisted reporting (CAR) a label used mainly in the US for decades."
- Quote: "Data-driven journalism strives to reach new levels of service for the public, helping the general public or specific groups or individuals to understand patterns and make decisions based on the findings."
- Quote: "The findings from data can be transformed into any form of journalistic writing."
- Quote: "Visualizations can be used to create a clear understanding of a complex situation."
- Quote: "Furthermore, elements of storytelling can be used to illustrate what the findings actually mean, from the perspective of someone who is affected by a development."
- Quote: "This connection between data and story can be viewed as a 'new arc' trying to span the gap between developments that are relevant, but poorly understood, to a story that is verifiable, trustworthy, relevant, and easy to remember."
- Quote: "The process builds on the growing availability of open data that is freely available online and analyzed with open source tools."
- Quote: "Data-driven journalism strives to reach new levels of service for the public, helping the general public or specific groups or individuals to understand patterns and make decisions based on the findings."
- Quote: "Other labels for partially similar approaches are 'precision journalism', based on a book by Philipp Meyer, published in 1972, where he advocated the use of techniques from social sciences in researching stories."
- Quote: "Telling stories based on the data is the primary goal."
- Quote: "This approach to journalism builds on older practices, most notably computer-assisted reporting (CAR) a label used mainly in the US for decades."
- Quote: "Many data-driven stories begin with newly available resources such as open source software."
- Quote: "Data-driven journalism might help to put journalists into a role relevant for society in a new way."
- Quote: "Furthermore, elements of storytelling can be used to illustrate what the findings actually mean, from the perspective of someone who is affected by a development."
- Quote: "Visualizations can be used to create a clear understanding of a complex situation."
- Quote: "Many data-driven stories begin with newly available resources such as open access publishing."