Up to now, the world’s newsrooms have been populated by roughly two phenotypes. On the one hand, there have been the content people (many of whom would never call their journalism “content,” of course). These include seasoned reporters, investigators, or commentators who spend their time deep diving into subjects, research, analysis, and cultivating sources and usually don’t want to be bothered by “the rest.”
On the other hand, there has been “the rest.” These are the people who understand formats, channel management, metrics, editing, products, and audiences, and are ever on the lookout for new trends to help the content people’s journalism thrive and sell. But with the advent of generative AI, taking refuge in the old and surprisingly stable world of traditional journalism roles will not be an option any longer. Everyone in the newsroom has to understand how large language models work and how to use them — and then actually use them. This is why 2024 will be the year when media organizations will get serious about education and training.
“We have to bridge the digital divide in our newsrooms,” says Anne Lagercrantz, vice CEO of Swedish public broadcaster SVT. This requires educating and training all staff, even those who until now have shied away from observing what is new in the industry. While in the past it was perfectly acceptable for, say, an investigative reporter not to know the first thing about SEO, TikTok algorithms, or newsletter open rates, now everyone involved with content needs to be aware of the capabilities, deficiencies, and mechanics of large language models, reliable fact-checking tools, and the legal and ethical responsibilities that come with their use. Additionally, AI has all the potential to transform good researchers and reporters into outstanding ones, serving as powerful extensions to the human brain. Research from Harvard Business School suggested that consultants who extensively used AI finished their tasks about 25% faster and outperformed their peers by 40% in quality. It will be in the interest of everyone, individuals and their employers, that no one falls behind.
But making newsrooms fit for these new challenges will be demanding. First, training requires resources and time. But leadership might be reluctant to free up both or tempted to invest in flashy new tools instead. Many managers still fall short of understanding that digital transformation is more a cultural challenge than it is a tech challenge.
Second, training needs trainers who understand their stuff. These are rare finds at a time when AI is evolving as rapidly as it is over-hyped. You will see plenty of consultants out there, of course. But it will be hard to tell those who really know things from those who just pretend in order to get a share of the pie. Be wary when someone flashes something like the ten must-have tools in AI, warns Charlie Beckett, founder of the JournalismAI project at the London School of Economics. Third, training can be a futile exercise when it is not paired with doing. With AI in particular, the goal should be to implement a culture of experimentation, collaboration, and transparency rather than making it some mechanical exercise. Technological advances will come much faster than the most proficient trainer could ever foresee.
Establishing a learning culture around the newsroom should therefore be a worthwhile goal for 2024 and an investment that will pay off in other areas as well. Anyone who is infected with the spirit of testing and learning will likely stretch their minds in areas other than AI, from product development to climate journalism. So many of today’s challenges for newsrooms require constant adaptation, working with data, and building connections with audiences who are more demanding, volatile, and impatient than they used to be. It is important that every journalist embraces at least some responsibility for the impact of their journalism.
It is also time that those editorial innovators who tend to run into each other at the same conferences open their circles to include all of the newsroom. Some might discover that a few of their older colleagues of the content-creator-phenotype could teach them a thing or two as well — for example, how to properly use a telephone. In an age when artificial fabrication of text, voice, or image documents is predicted to evolve at a rapid pace, the comeback of old-style research methods and verification techniques might become a thing. But let’s leave this as a prediction for 2025.
This post was published in Harvard’s Nieman Lab’s Journalism Predictions 2024 series on 7th December 2023.
The British public can’t get enough news about Brexit – at least, that’s what news platforms’ data analytics say. But, according to the Reuters Institute’s latest Digital News Report, 71% of the British public tries to avoid media coverage of the United Kingdom’s impending departure from the European Union. This disparity, which can be seen in a wide range of areas, raises serious questions about news organizations’ increasingly data-driven approach to reporting.
The rise of data analytics has made journalists and their editors confident that they know what people want. And for good reason: with a large share of news consumed on the Internet, media platforms know exactly which stories readers open, how much they read before getting bored, what they share with their friends, and the type of content that entices them to sign up for a subscription.
Such data indicate, for example, that audiences are interested in extraordinary investigative journalism, diet and personal-finance advice, and essays about relationships and family. They prefer stories with a personal angle – say, detailing an affected individual’s fate – rather than reports on ongoing conflicts in the Middle East or city hall coverage. And they are drawn to sensational stories – such as about US President Donald Trump’s scandals and antics – under “clickbait” headlines.
But if newsrooms were really giving audiences what they wanted, it seems unlikely that almost one-third (32%) of respondents in the Digital News Report, the world’s largest ongoing survey of online news consumption, would report that they regularly avoid news altogether. But they did, and that figure is up three percentage points from two years ago.
The most common explanation for avoiding the news media, given by 58% of those who do, is that following it has a negative effect on their mood. Many respondents also cited a sense of powerlessness.
Moreover, only 16% of participants approve of the tone used in news coverage, while 39% disapprove. Young people, in particular, seem fed up with the negativity bias that has long been regarded as a sure-fire way to attract audiences. For many, that bias feels disempowering. Conversations indicate that the problem is compounded for young parents, who want to believe that the world will be good to their children. Younger generations also feel consuming news should be more entertaining and less of a chore.
One reason for the disconnect between the data and people’s self-reported relationship with the news media may be the “guilty pleasure” effect: people have an appetite for voyeurism, but would prefer not to admit it, sometimes even to themselves. So, even as they click on articles about grisly crimes or celebrity divorces, they may say that they want more “quality news.”
When newsrooms indulge readers’ worst impulses, the consequences are far-reaching. Media are integral to support accountability by anyone wielding power or influence, and to mobilize civic engagement. Democracies, in particular, depend on voters being well informed about pressing issues. News organizations thus have a responsibility to report on serious topics, from political corruption to climate change, even if they are unpleasant.
That does not mean that readers’ complaints about media’s negativity bias should be disregarded. On the contrary, if people are to be motivated to confront challenges that are shaping their lives, they should not be made to feel powerless.
This is where so-called solutions journalism comes in. By balancing information about what needs changing with true stories about positive change, news organizations can fulfill their responsibility both to inform and to spur progress. This means occasionally recognizing that over the long term, living standards have improved globally.
Reconnecting with audiences will also require media organizations to broaden their perspectives. In much of the West, it is largely white, male, middle-class journalists who decide what to cover and how. This limits news media’s ability to represent diverse societies fairly and accurately.
In fact, only 29% of Digital News Report respondents agreed that the topics the news media choose “feel relevant” to them. A joint study by the Reuters Institute and the Johannes Gutenberg University in Mainz, Germany, indicates that the key to increasing this share is to increase diversity in newsrooms.
At the same time, news media need to do a better job of contextualizing and otherwise explaining the news. While 62% of Digital News Report respondents feel that media keep them apprised of events, only half believe news outlets are doing enough to help them understand what is happening. At a time when nearly one-third of people think that there is simply too much news being reported, the solution seems clear: do less, better.
This means listening to readers, not just studying the data analytics. It means balancing good news with bad news, and offering clarifying information when needed. It also means representing diverse perspectives. Media organizations that do not make these changes will continue to lose trust and relevance. That is hardly a sound strategy for convincing consumers that their work is worth paying for.