The Panama Papers investigation was a momentous task. The multi-award-winning international collaboration led by German newspaper Sueddeutsche Zeitung was mainly about manpower. Reporters spent an entire year sifting through data, looking for anomalies and following up on sources. But did it really need to be so laborious?
Some journalists who are hopeful about the advancement of “robot” journalism believe that had there been sophisticated software to support the 400 researchers from all over the world in analysing patterns and data sets, more could have been found in less time.
But it’s not that simple. Artificial Intelligence will create new opportunities for journalism, but the advancement of robots in newsrooms also poses significant risks.
Artificial Intelligence, The Saviour Of Journalism?
Unquestionably, there are huge advantages in employing AI in newsrooms. No wonder then that newsrooms all over the world are rolling it out. A recent survey among media leaders by the Reuters Institute for the Study of Journalism revealed that 69 per cent of them already use some type of AI in their newsrooms. Audiences seem to embrace the concept, too. As the Reuters Institute’s 2017 Digital News Report revealed, 54 per cent of all respondents preferred algorithms choosing the news relevant to them over humans making the selection.
The list of potential benefits is long. First, AI will free journalists of repetitive and boring chores and help them to focus on more valuable tasks. Second, it will outperform humans in terms of volume and potentially accuracy, as newsrooms that rely on the automated production of earnings reports or sports results already demonstrate. Third, robots will be able to do the kind of hyperlocal journalism that audiences are interested in but no publisher can afford. The example of a Swedish homeowners bot shows that automated stories can even drive subscriptions. Fourth, automated fact-checking helps to avoid mistakes and to stop the spread of mis- and disinformation, thus increasing credibility and trust (audiences despise mistakes!).
Fifth, data journalism opens up exciting new opportunities for investigations. “When used and analyzed correctly, Big Data can predict wars and labor strikes, terror attacks, election results, and online spending and help journalists tip readers off in advance to changing fashion trends, natural disasters, traffic jams, crop patterns, and much more”, as Amir Ruskin writes in the insightful book “Robot Journalism – Can Human Journalism Survive?”, edited by Noam Lemelshtrish Latar (2018).
Sixth, as a welcome side effect, dealing with AI and data will train journalists in skills that are sought after in a much broader array of professions. In an increasingly battled media landscape, it’s pivotal to have skills which improve one’s attractiveness on the job market.
Seventh, “real” robots and drones can be employed to operate in war zones and collect data in dangerous environments, thus reducing risks for reporters and maybe even saving lives.
Additionally, there are all the advantages of AI improving customer relations, personalising content and supporting journalists in discovering new stories and managing their material.
Brave New World?
So what’s the catch then? Shouldn’t we speed up the advent of AI in newsrooms if it provides so many advantages? Well, not so fast. Let’s go back to the example of the Panama Papers for a second. Yes, robots might have been able to dig deeper into the data than humans. But the major challenge with the project was not a lack of information. It was the decision what to publish, and more importantly what not to publish.
Among the biggest controversies in the newsroom of Sueddeutsche at the time of the Panama Papers was: Do we publish too much and risk our audiences’ attention to fade away? And which are the stories that are not just interesting to tell but politically and/or legally relevant? AI cannot help with these hard decisions – at best, it can make suggestions. In the end, it’s editors who need to decide what to publish, not algorithms.
The advancement of AI in newsrooms could also pose yet another problem: It reveals a lot about the performance of journalists. In the future it will be increasingly easy to compare how individual authors contribute to the value of the company, depending on how well they are scoring with readers. Measuring and comparing the return on investment of the single journalist can increase the pressure in newsrooms tremendously. And it can tweak editorial choices in directions not necessarily conducive to the public interest (not to be confused with public appetites).
Another, no less serious problem is how third parties, particularly the platform companies, will profit from the abundance of data newsrooms are creating by employing AI. “We are feeding a system we have no control over”, as Zulfikar Abbanhy from Deutsche Welle recently remarked at a workshop on robot journalism organised by the European Federation of Journalists in Lisbon. It’s an aspect not to be overlooked.
The use of AI could also have serious implications on the job market for journalists. In an ideal world, AI will free up resources and help journalists to focus on more important tasks. Unfortunately, it could also be used as a cost-saving measure. Bring in the robots, get rid of the journalists.
Yet, even if this scenario does not come to pass, sparing journalists from the boring, more routine work can have negative consequences. How, for instance, will they train their skills to do the in-depth reporting that AI will supposedly allow them to concentrate on? Generations of journalists have started their careers by writing up news about police reports or covering local events. These tasks might be tedious but are good exercises in the kind of diligence that is so necessary for journalistic excellence.
In an ideal world, AI will free up resources and help journalists to focus on more important tasks. Unfortunately, it could also be used as a cost-saving measure. Bring in the robots, get rid of the journalists.
Increasing automation and AI-driven personalisation have another potential downside. By tailoring content too much to audiences’ interests, vital yet less attractive reporting could easily fall by the wayside. But simply succumbing to the law of the market isn’t journalism. High-quality journalism means holding power to account and to confront citizens with the less pleasant aspects of life. Journalism does not just exist to satisfy consumer demand but to serve democracy. Pleasing audiences too much through personalisation will be the death of journalistic freedom.
How Newsrooms Should Embrace AI And Automation
Where then does all this leave us when employing AI for journalism? What should we be looking out for when introducing “robots” in newsrooms?
First, we need to make sure journalists run newsrooms, not data scientists. While data experts belong in every newsroom and need to inform choices, decisions about content need to be made by editors and reporters trained in defining relevance and asking the right questions.
Second, we need to think about what happens with the data created in the process. Apart from protecting sources’ and audiences’ privacy, performance evaluations of journalists should not be tied to the metrics introduced by AI in newsrooms. Sometimes stories that don’t rank high on the “most read today”-list can still have tremendous political and social impact.
Third, don’t mistake efficiency for good journalism. Even if bots produce the pieces that drive your subscriptions, look at them as the tools to transport the greater good you are doing your jobs for.
And fourth, deal with the “problem of plenty”. Doing more of everything will kill people’s attention. At the end of the day, they won’t have the energy left for the stuff that really matters.
This text was published by the European Journalism Observatory on September 11, 2018
OXFORD – After years of ill health, the news industry is finally showing signs of a modest recovery. According to the Digital News Report 2018 – the most comprehensive survey of digital media consumption – subscriptions are trending up while consumer confidence has stabilized. For a much-maligned business that trades in trust, these fragile gains amount to meaningful progress.
To be sure, the world’s media remain troubled; the report, produced by the Reuters Institute for the Study of Journalism, shows that only 44% of news consumers believe what established media brands publish. But that represents an increase of one percentage point from last year, suggesting that the industry’s trust deficit has either stopped growing or is actually narrowing.
Other surveys are even more bullish; for example, the annual Edelman Trust Barometer found that journalists are regaining their credibility, while overall trust in traditional and online-only journalism is at its highest point in seven years. These findings prompted the firm to declare that “the return of experts” is upon us.
Although it may be too early for media executives to declare victory just yet, these are clearly good signs for an industry that has had its reputation battered in recent years. Political polarization has made people suspicious of media outlets that don’t support their views, while cost cutting in newsrooms has degraded the quality of journalism on offer. But, as the new data suggest, journalists appear to be finding ways to address these challenges.
Perhaps the most revealing trend in this year’s Digital News Report is the growing distrust in news shared via social media. For example, our study found that only 23% of respondents trust news they find on social media, and just 34% believe what they turn up in search engines. These figures will likely trouble Google, Facebook, and other tech giants whose businesses are no less reliant on trust than traditional media organizations.
But while platforms like Facebook stumble, many traditional media outlets are finding their footing; subscription trends support this conclusion. Of the 74,000 survey respondents, 14% said they paid for digital news at least once during the previous 12 months, while the average in the Nordic countries was closer to 30%. In the United States, President Donald Trump’s attacks on so-called “fake news media” have had the opposite effect, pushing more people to support independent journalism than ever before. In 2016, for example, only 9% of American consumers paid for news online; that share rose to 16% in 2017 and has held steady this year.
Even in countries like the United Kingdom, which has no shortage of free news websites, people are investing in quality reporting. The Guardian’s model of soliciting donations or membership payments is fueling a financial turnaround. In nearly every country surveyed, young people on the political left demonstrate the highest propensity to pay.
Some critics argue that the media’s payment model contradicts the original spirit of the Internet as a place for the free exchange of ideas, news, and information. Moving the best stories behind paywalls, opponents say, will give rise to second-rate news for second-class citizens.
But this argument misses three key points. For starters, the number of digitally connected people who cannot afford to pay for news at all can be presumed to be quite small; willingness to pay is much more a question of spending priorities. Moreover, paying for something that one perceives as valuable helps make it so, as the move to prioritize membership models over purely transactional approaches illustrates.
Finally, for those who truly cannot pay, there are viable options for bringing quality journalism to low-income households. For example, tax codes could be reformed to make the practice of journalism more affordable, while government or foundation funding could increase support for public media programming.
When people pay for content, journalists gain an incentive to deliver. They scrutinize their products for value, check facts thoroughly, innovate, investigate, and cut down on the cheap, attention-grabbing noise that plagues so many social-media platforms. Best of all, these trends are mutually reinforcing; the better the journalism is, the more consumers will value it.
It has been a long time since the media industry had good news to report about itself. Now that we do, it is imperative that we work harder than ever to sustain the trend toward quality, credibility, and financial viability.
This text was published by Project Syndicate on September 7, 2018