From the Snowden revelations to the Panama Papers, reporters and editors face complex decisions when it comes to reporting on leaked data.

Many journalists see themselves as “word people” and shy away from writing about numbers. Brant Houston shows how to embrace math with an overview of spreadsheets and functions for beginners.

Data are never neutral ‘givens’, but always situated in a particular context, collected for a particular reason -- and it’s crucial that data journalists understand these.

When we talk about blockchain and journalism, the focus is often on trust and sustainability. But the technology also opens up a whole new world of data for journalists to explore.

In order to display three-dimensional world we live in, journalists are forced to distort reality. And every map does so in its own way. Maarten Lambrechts looks at commonly used maps and how to avoid being misled by them.

Over several months, an investigation team poured over 27.5 million documents to reveal how Africa's elites hide billions offshore. Did these documents ever mislead them? How did they verify? Will Fitzgibbon and Daniela Lepiz answer your questions.

The 2018 World Cup might be over, but that doesn’t mean we can’t enjoy the data journalism that it inspired. We collated a full roundup of data journalism that dissected, predicted, and queried the World Cup.

What happens when algorithms go wrong? Nick Diakopoulos wants to refocus the traditional watchdog role of journalists and hold powerful algorithms to account.

Major newspapers across Europe have found a solution to protect local journalism: robot journalists. But, will robot reporting ever be entirely neutral? Alexander Fanta looks at the potential biases in robo-journalism.

In the contemporary climate of distrust, how can data be leveraged to reimagine social issues? The Engagement Lab at Emerson College spoke to 40 American civic media practitioners to find out.

Reporting and handling Twitter data, which can contain personal or sensitive content, requires an ethical mindmap. Luckily, we have one.

Data will often arrive on your doorstep with a problem -- or two, or three, or four. In the data journalism world, we call this ‘dirty data’. Usually it’s not bad enough to stop your great idea. But first you need to identify the problems.

How do data journalists make ethical decisions? Using case studies from gun permit reporting, this article showcases the power of online discussion in solving ethical dilemmas.

As computational methods become more prevalent in the newsroom, Jennifer A. Stark examines the standards and expectations for ensuring editorial transparency.

By holding a magnifying glass to systemic flaws in society, data journalism can encourage positive change. Conversely, when published without context or consideration for ethics, it can cause harm through the perpetuation of stereotypes and biases.

When journalists try to communicate large amounts, they have a tendency to measure area in multiples of football fields, and volume by Olympic swimming pools. But this isn't always the most effective approach.

Despite the growing interest in data journalism in academia and newsrooms, there is a lack of systematic research into this domain, resulting in a divide between academic and industry practices. Bahareh Heravi bridges the gap with Megan Lucero.

If a robot wrote this article, you may not know it. The movement to produce automated content has accelerated in the past few years. But editorial policies have not kept up. Why are attribution and crediting policies important for 'robot journalism'?

With a 'data state of mind', you can start producing stories right away -- even if you barely know your way around a spreadsheet.

From audience metrics, to spreadsheets and databases hoovered up during news-gathering, Dick Murray looks at how the explosion of data in journalism affects the news.

Where does data come from? What can journalists do with it? And what happens once they're done with it? Jonathan Stray explores these questions and more.

Because these can easily lead to bad conclusions, technical misunderstandings raise important ethical challenges. Jonathan Stray highlights a straightforward problem that is often ignored: the margin of error in the available data.

The ability to create interactive visualisations is a widely sought skill in newsrooms. But non-coding journalists often feel nervous getting started. Scott Murray provides valuable advice on learning D3.js and when to expect productivity.