Is 'tennis racket' the start of data science-driven journalism?

Does the way BuzzFeed and the BBC have used algorithms to build a story have a potential impact on PR, asks Robert Bownes of Profusion

Are journalists going to use data journalism more in the future, asks Bownes
Are journalists going to use data journalism more in the future, asks Bownes
Tennis recently joined the growing league of sports that are (allegedly) riddled with corruption. Whether any tennis players are actually at fault remains to be seen.

However, the investigation by BuzzFeed and the BBC was notable for serving up some tasty data science. BuzzFeed’s John Templon wrote algorithms that mined betting data to identify unusual patterns and possible fixes. This could be a game-changer for PRs for a few reasons. 

It’s no secret that fewer and fewer journalists are being asked to write more and more copy. 

Only the most short-sighted PR would say this is a good thing.

Press releases and comments may get less scrutiny and more column inches from time-pressed journalists, but the scope to pitch more complex stories or research, and contribute to long-tail features or investigatory series, is greatly reduced. 

So too is the amount of patience journalists can afford a PR desperately trying to ascertain and explain the facts during a ‘crisis comms’ situation. 

More data science-driven reporting could resuscitate investigatory journalism by creating a very powerful and fast research tool. 

Using algorithms and other techniques to quickly analyse huge tranches of data can uncover hidden trends, such as corruption, and create more interesting story angles. 

It can also be used for fact-checking and better statistical stories. 

In short, more journalists could write better, well-researched stories, faster.

For PR professionals this is a challenge and an opportunity. First, it may mean less blasé use of statistics – which is a good thing. 

Second, as journalists become more data savvy, it opens the door to contributing information beyond straightforward comments or ready-made reports to a story. 

Third, it could free up more time for journalists. This may mean that more pitches are assessed on content rather than the order they appear in a reporter’s inbox.
Fourth, it may mean PRs have to generally raise their game. 

It’s harder to hide a company’s bad practice or comms ‘spin’ if a reporter, aided by data scientists, can examine open data to verify claims.

Of course, this scenario is still a way off. BuzzFeed’s investigation took over a year; not exactly speedy. 
It’s easy to make the facts and figures fit the story, rather than the other way round. 

However, this is going to change. Data is growing in power and reach, as are the tools to understand it.
It is a window to our digital world and the only way to fully understand how people and organisations operate. 

Journalism in the next decade will become data science-driven and PRs should embrace the opportunities this offers.   

Robert Bownes is director of comms at data science consultancy Profusion

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