Bad predictions, especially in high-stakes stories, can be more than confusing and misleading -- they can be dangerous. G. Elliott Morris draws on examples from political journalism to describe some guidelines for good predictive journalism.

Editing investigations is challenging enough, but particularly when you're not familiar with data methods. Maud Beelman and Jennifer LaFleur share guidance for project editors on best practices for workflows, bulletproofing, and writing techniques.

Personal information is often mixed in with data that are vital to a story, raising ethical questions around publication. Vojtěch Sedlák covers four techniques to de-identify data and simple ways journalists can introduce them into their workflows.

In emergencies, the rapid evolution of events, combined with unreliable information and data, mean that journalists run the risk of rushing reports without double-checking accuracy -- or worse, getting caught in the storm themselves.

It is generally believed that numbers are hard and judgements are soft. But metrics and indices are much softer than we would like to think. With case studies from Africa Check, Morten Jerven covers the basics of cross examining statistics.

What are the most effective ways to introduce students to data? From Ireland to Kyrgyzstan, there's a lot to be learnt from teachers all around the world.

Humans have been embedding data into the properties of physical objects for millennia, so why don't modern journalists? Alice Corona explores the newsroom benefits of producing data physicalisations, along with a tutorial to help you get started.

While data journalists often produce rigorous reporting about social issues, there is less on responding to the same problems. Brent Walth provides an overview of solutions journalism frameworks, and why they're important for data journalism.

How do you get audience members, much less the journalists presenting a story, to walk a mile in the shoes of a dot? Or a bar chart? P. Kim Bui provides three approaches for achieving empathy in data visualisations.

When we think of data journalism, we usually don't think of radio. Yet, data can power all forms of reporting, even those that aren’t visual. We spoke to six data experts to uncover best practices for representing data through sound.

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.

Armed with data, fact-checking organisations work tirelessly to help separate facts from fiction, and any misnomers in-between. Here's how they do it.

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.

Accountability journalism represents the very best journalism in the industry. But even the best journalism has been disrupted by the emergence of social media. How can we regain and retain our distracted and distrusting audiences?

Geographic maps can be very illuminating, but sometimes bigger countries overshadow smaller ones, leading to false assumptions. Overcome this problem is by creating a map where all countries are the same size.

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.

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.