Newsrooms can fight “fake news” by identifying it, warning about it and correcting it. But they can also fight it with so much trustworthy, factual and well researched journalism that it drowns out the lies. For most of them it’s not an either/or decision, of course; they try to do both. The European Broadcasting Union has recently unveiled a project that caters to the latter: It wants to deliver class en masse and will do so by scaling content across countries and languages using automated translation.
The project promises quite a bit: starting in July, ten public broadcasters from Europe will feed in particularly good pieces on globally important topics such as Covid-19, climate change and migration, which will then be translated by artificial intelligence and made available across Europe. In an eight-month pilot phase, 14 institutions had shared more than 120,000 articles this way. This worked so well that the EU is now helping with a grant. So in the future, citizens could benefit not only from more reliable information, but also from more diversity, if things go well.
In fact, automated translations could revolutionize journalism. If you haven’t struggled with texts translated by software into other languages for a while because you found the results rather unsatisfactory, you might want to try it again. Artificial intelligence, which works on the principle of deep learning, now translates texts like this one into English within seconds. With a little editing, they read – this needs to be said – much better than what one used to get back from translators who knew a foreign language but not necessarily the journalistic form. The AI products are, in the truest sense of the word, frighteningly good.
Admittedly, robots work reliably in a few languages only, but they are learning as we read. And the result will shape journalism – but in different directions. On the one hand, the tools open up new possibilities for publishers. Whereas until now only newsrooms from English-speaking countries were able to offer their journalism worldwide, in the future everyone will be able to do so for whom it makes sense commercially or qua mission. Not every media company will be able to turn itself into a New York Times or a Guardian, but the options for Europe-wide news portals are growing rapidly. At the start-up Forum.eu, for example, AI now handles 60 percent of the total translation work, according to co-founder Paul Ostwald’s estimate. The platfom makes quality journalism from different countries accessible all over Europe.
Editors could also reach people with other native languages more easily in their own countries via automated translation, for example hard to connect with migrant communities. And international research should become much easier if reporters have better access to original documents this way. The whole thing does not only work for written but also for spoken material (which stillmakes for funny subtitles on TV).
However, newsrooms have already realized that there is not only a huge potential for expansion, but also for savings. Reuters news agency has long been redeploying resources, for example from its German-language service to parts of the world where citizens are in greater need for journalistic scrutiny. And of course this makes sense: Instead of sending a German- and an English-speaking colleague to the same press conference in Berlin, an additional colleague in, for example, the Philippines can create real added value.
However, it is precisely at this point that things become critical. After all, language is only ever a packaging for content that arises in the context of a culture. The exact same fact can read completely differently depending on who is describing it. When, for example, star conductor Simon Rattle recently announced that he would be joining the Bavarian Radio Symphony Orchestra as chief conductor in 2023, German culture reporters were thrilled. Reading the British Guardian on the same day, one learned that Rattle had extended his contract with the London Symphony Orchestra until 2022, oh, and at some point he would go to Munich. One event, two reporters, two worlds, a translation would not have helped in this case.
A translation tool will not replace a foreign correspondent – but it will make his or her work easier. This is bad news for all those fixers and local journalists around the globe who make sure that journalists get the right information, contacts and access without which they would often be lost on foreign territory. If they are not needed as translators any longer, they might soon be out of their jobs. Already, only a few newsrooms can afford a network of reporters far from home. Easier access to all the world’s languages is likely to accelerate this development – but it has not caused it.
As with many things that new technology offers, there is one temptation, and it has to be resisted: That you have to do what you can do. Translating content via AI just because it works is not a strategy. What audience do you want to reach with what content, and what do you want it to achieve? Do you have a mission, a business model, or just fun with it? There they are again, these questions that no AI can answer. Meanwhile, beware: AI is increasingly used to translate “fake news” as well.
This column was published on 4th February 2021 with Hamburg Media School in German, then translated with www.DeepL.com/Translator (free version) and edited.
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.