The latest in my series of FAQ posts follows on from the last one, in response to a question from an MA student at City University who posed the question “Do you think that an increase in algorithmic input is leading to a decline in human judgement?”. Here’s my response.
Does an increase in computation lead to a decline in human input?
Firstly, it’s important to emphasise that the vast majority of data journalism involves no algorithms or automation at all: it’s journalists making calculations, which historically they would have done manually.
You mention the possibility that “an increase in computation leads to a decline in human input”. An analogy would be to ask whether an increase in pencils leads to a decline in human input in art. Continue reading →
I’ve now been teaching data journalism for over a decade — from one-off guest classes at universities with no internal data journalism expertise, to entire courses dedicated to the field. In the first of two extracts from a commentary I was asked to write for Asia Pacific Media Educator I reflect on the lessons I’ve learned, and the differences between what I describe (after Daniel Kahneman) as “teaching data journalism fast” and “teaching data journalism slow”. First up, ‘teaching data journalism fast‘ — techniques for one-off data journalism classes aimed at general journalism students.
In this commentary, I outline the different pedagogical approaches I have adopted in teaching data journalism within different contexts over the last decade. In each case, there was more than enough data journalism to fill the space — the question was how to decide which bits to leave out, and how to engage students in the process. Continue reading →
Local data journalism in the UK has been undergoing a quiet revolution in the last 12 months, but 2018 in particular has seen a number of landmarks already in its first few months. Here’s some of the highlights in just its first 12 and a half weeks…
January: BBC Shared Data Unit publishes its first secondee-led investigation
The BBC Shared Data Unit had already been producing stories before in late 2017 it took on its first three-month secondees from the news industry. Over the next 12 weeks they received training in data journalism and work on a joint investigation. Continue reading →
Women represent 49.5% of the world’s population, but they do not have a corresponding public, political and social influence. In recent years, more and more women have raised their voices, making society aware of their challenges — data journalists included. To commemorate International Women’s Day, Carla Pedret presentsa list of data journalism projects that detail the sacrifices, injustices and prejudices that women still have to face in the 21st century.
In a guest post for OJB, Barbara Maseda looks at how the media has used text-as-data to cover State of the Union addresses over the last decade.
State of the Union (SOTU) addresses are amply covered by the media —from traditional news reports and full transcripts, to summaries and highlights. But like other events involving speeches, SOTU addresses are also analyzable using natural language processing (NLP) techniques to identify and extract newsworthy patterns.
Every year, a new speech is added to this small collection of texts, which some newsrooms process to add a fresh angle to the avalanche of coverage.
Bombings in Barcelona in 1938 (Image by Italian Airforce under CC)
In a guest post for OJB, Carla Pedret looks at a new data journalism project to catalogue what happened during the Spanish Civil War.
125,000 people died, disappeared or were repressed in the Spanish Civil War (1936-1939) and during the Franco dictatorship, according to historians. Many of their families still do not know, 40 years later, what exactly happened to them.
It’s always difficult to get publishers to agree to things like this, so if you have any comments or feedback that I can use to make a similar case to publishers in future, please let me know in the comments.