Nieman Lab Prediction 2025: Newsrooms Reinvent Their Political Journalism

In traditional newsrooms, political journalists tend to be those who call the shots. Even in the absence of statistics, it’s safe to bet that the majority of editors-in-chief used to cover politics before rising to the top job. This has shaped pretty much all of journalism. The “he said, she said” variety of news coverage that makes for a large part of political reporting has pervaded other subject areas as well. The attempt to give opposing parties a voice led to the so-called “both-sides journalism” which operates under the assumption that on the marketplace of ideas and opinions those will survive that serve the people best.

But the past few years have already demonstrated that this kind of journalism is not sustainable. First and foremost, it doesn’t serve humanity well in the case of imminent and severe threats like climate change or attacks on democratic institutions where bothsidesism is not an option. Also, newsroom metrics have shown again and again that audiences tend to be put off by news content that just amplifies opinions and intentions of decision makers without linking it to people’s lives. News avoidance is real and has been growing.

“What if reporting on racist, misogynist, dehumanizing opinions and comments has the opposite effect from what most journalists intend — normalizing propaganda and even making political candidates seem interesting?”

The result of the 2024 U.S. election and the rise of authoritarian leaning extremists in other democracies should have served as the final wakeup call for political journalism. What if the media’s calling out those who don’t respect democracy and its institutions doesn’t deter people from voting exactly those politicians into office? What if reporting on racist, misogynist, dehumanizing opinions and comments has the opposite effect from what most journalists intend — normalizing propaganda and even making political candidates seem interesting? And what if newsrooms who complain about political polarization have contributed their fair share to it themselves? Polarization has been a successful business model for journalism after all. These are hard questions that demand answers.

If they want to stay relevant in serving the public, newsrooms will have to double down on studying the impact of their political journalism and think about consequences. Otherwise, they will continue to preach to the converted and fail in their mission to inform people about real threats to their livelihoods. While there is no quick recipe to disrupt and reinvent political journalism, some of the following ingredients might help to develop an strategy and improve the result:

First, studying human behavior. There is plenty of research and evidence out there on how propaganda works, how those in or aspiring to power use the media to amplify it, and how people react to it. If journalists don’t want to be tools in the hands of those ready to abolish press freedom and erode democratic institutions, they better familiarize themselves with these mechanisms. Insights from communication and behavioral psychology should be part of all journalism education and shape newsroom debates. It has become obvious that values and emotions like a sense of justice, pride, shame, and fear shape people’s voting decisions often more than rational choice theory would suggest. Newsrooms must account for that.

Second, chasing data, not just quotes. For political journalists, quotes are data, for other people not so much. They deserve to know what happened, not what someone says they might want to see happening or intends to make happen once in power. Data journalism — increasingly improved by the capabilities of artificial intelligence — provides plenty of opportunities to paint pictures of the real world instead of the world of intentions and declarations. Political journalism can be more interesting when people see how politicians have actually performed in contexts where they were responsible. Needless to say that data journalism needs to be made engaging to appeal to a variety of audiences.

Third, connecting reporting to people’s everyday lives. Politicians have an agenda and journalists are often swayed by it; people are likely to have different ones. Observers might have been baffled that voters didn’t give the Biden administration credit for the strong state of the American economy, but apparently all many people saw before casting their vote was their rising cost of living. Most people care deeply about issues like housing, personal security, the education of their children, health, and care for aging relatives. Only, most of these issues are linked to citizens’ immediate surroundings, their communities. Unsurprisingly, local news tops the list of interests in all age groups when asked for their journalism preferences, as the 2024 Digital News Report revealed. But with diminishing investment in local journalism, many of these topics have been under covered in recent years. A disconnect between political journalism and people’s lives has emerged that needs to be remedied.

Fourth, choosing appropriate formats. Modern newsrooms target different audiences with different formats on the platforms these audiences engage with. Political journalism is still too focused on the audiences that they have traditionally served. It is often made for well-educated groups and decision makers. If newsrooms really want to reach people beyond the community of like-minded news consumers, they need to explore how these audiences can be attracted. There are high hopes in the industry that artificial intelligence can assist in making journalism more appealing and inclusive by transcending formats — converting content to text, video, audio, interactive chat, or even graphic novel by the push of a button. It is too early to tell how this will affect news consumption and audience figures in the real world, but many media leaders expect opportunities for stronger news uptake.

Fifth, learning from other fields of journalism. Political journalists tend to be aware of their importance in the internal hierarchy. Many of them feel proud to do “the real thing” instead of covering entertainment, sports, personal finance, and the like. This might help them to digest the fact that colleagues in other fields score higher in the audience metrics department. But it’s exactly these colleagues political journalists could learn from to improve their own game. They could ask the science desk how to best deal with data and how to break down complex matters in digestible formats. They might get some advice on humanizing stories from those reporting on sports or celebrities. They could learn from investigative reporters how to pace oneself when seemingly sensational material is at hand and how to cooperate with others. And they could practice churning out one or the other service story. In fact, the whole newsroom should be interested in improving political journalism, since at times politics is part of most subject matters.

If journalism wants to maintain its legitimacy, relevance, and impact — particularly in an age when artificial intelligence will make content production ubiquitous — it needs to urgently rethink political journalism. Making it appealing to broader audiences and attracting them to engage with it might be no less than a matter of its survival. Many media leaders are aware of this. Chances are that in 2025 newsrooms will finally rethink the paradigm of political journalism.

This text was published by Harvard University’s Nieman Lab in their Journalism Predictions for 2025 series. 

AI Labels in Journalism: Why Transparency Doesn’t Always Build Trust

The use of artificial intelligence in journalism requires sensitivity toward the audience. Trust is lost quickly. Transparency is supposed to remedy this. But labeling could even have a negative impact. This column discusses what to do.

In the case of Sports Illustrated, the issue was obvious. When it leaked out that some columns and reports at the renowned American sports magazine were not produced by clever minds but large language models, it cost the publication plenty of subscriptions and ultimately CEO Ross Levinsohn his job. Newsrooms that use journalist imitations made by artificial intelligence are therefore better off doing this confidently; a clear transparency notice is needed. The Cologne-based Express, for example, uses a disclaimer for its avatar reporter Klara Indernach. And even when stated openly, things can go wrong. The radio station Off Radio in Krakow, which had proudly announced that it would be presenting its listeners with a program controlled solely by AI, had to abandon the experiment after a short time. An avatar presenter had conducted a fictitious interview with literature Nobel Prize winner Wislawa Szymborska and asked her about current affairs – only the author had passed away in 2012. The audience was horrified. 

Nevertheless, transparency and an open debate about whether, when and to what extent newsrooms use AI when creating content is currently seen as a kind of silver bullet in the industry. Most ethical guidelines on the editorial use of AI are likely to contain a paragraph or two on the subject. There is a great fear of damaging one’s own brand through careless use of AI and further undermining the media trust that has been eroding in many places. So, it feels safer to point out that this or that summary or translation was generated by language models. How this is received by readers and users, however, has hardly been researched – and is also controversial among industry experts. While some are in favor of labels similar to those used for food, others point out that alerts like these could make the public even more suspicious. After all, the words “AI-assisted” could also be interpreted as editors wanting to ditch their responsibility in case of mistakes. 

We also know from other areas that too much transparency can diminish trust just as much as too little. A complete list of all mishaps and malpractice displayed in the foyer of a hospital would probably deter patients rather than inspire confidence. If you read a warning everywhere, you either flee or stop looking. Rachel Botsman, a leading expert on the subject, defines trust as “a confident relationship with the unknown”. Transparency and control do not strengthen trust, but rather make it less necessary because they reduce the unknown, she argues.  

Much more important for building trust are good experiences with the brand or individuals who represent it. To do this, an organization needs to communicate openly about the steps it takes and the processes it has in place to prevent mishaps. In airplanes, this includes redundancy of technology, double manning of the cockpit and fixed procedures; in newsrooms, the four-eyes and two-source principle. When people trust a media brand, they simply assume that this company structures and regularly checks all processes to the best of its knowledge, experience, and competence. If AI is highlighted as a special case, the impression could creep in that the newsroom doesn’t really trust the matter itself.

Felix Simon, a researcher at the Reuters Institute in Oxford therefore considers general transparency rules to be just as impractical as the widely used principle “human in the loop”, meaning that a person must always do the final check. He writes in a recent essay that it is a misconception that the public’s trust can be won back with these measures alone. 

Many journalists also do not realize how strongly their organization’s reporting on artificial intelligence shapes their audience’s relationship with it. Anyone who constantly reads and hears in interviews, essays and podcasts about what kind of devilish stuff humanity is being exposed to will hardly be open-minded about the technology if the otherwise esteemed newsroom suddenly starts to place AI references everywhere. As expected, respondents in surveys tend to be skeptical when asked about the use of AI in journalism – just as a consequence of the media’s reporting. 

It is therefore important to strengthen the skills of reporters so that they approach the topic of AI in a multi-layered way and provide constructive insights instead of meandering between hype and doomsday scenarios. The humanization of AI – whether through avatar reporters or just in the use of words does not exactly help to give the audience a realistic picture of what language and computing models can and cannot do.

People’s impression of AI will also be strongly influenced by their own experiences with it. Even today, there is hardly anyone among students who does not use tools such as ChatGPT from time to time. Even those who program for a living make use of the lightning-fast calculation models, and AI is increasingly becoming an everyday tool for office workers, just like spell checking, Excel calculations or voice input. However, it will become less and less obvious which AI is behind which tools, as tech providers will include them in the service package like the autofocus when taking a picture with a smartphone. AI labels could therefore soon seem like a relic from a bygone era.  

At a recent conference in Brussels hosted by the Washington-based Center for News, Technology & Innovation, one participant suggested that media organizations should consider labeling man-made journalism. What at first sounds like a joke actually has a serious background. The industry needs to quickly realize how journalism can retain its uniqueness and relevance in a world of rapidly scaling automated content production. Otherwise, it will soon have bigger problems than the question of how to characterize AI-supported journalism in individual cases.   

This text was published in German in the industry publication Medieninsider, translated by DeepL and edited by the author – who secretly thinks that this disclaimer might make her less vulnerable to criticism of her mastery of the English language.