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Nieman Lab’s Predictions for 2023: Our Top Picks

Nieman Lab’s 150+ predictions for 2023 offer valuable inspiration for the year ahead. We picked our Top 30 pieces of inspiration from media leaders centred around 3 main themes.

It is notable though that only very few of Nieman Lab’s predictions come from Europe based industry leaders. Subscribe to the newsletter to stay tuned as we will further compare how some of these predictions resonate with media companies in France, Germany, UK, the Nordics and beyond.

AI is a dominant theme in 2023 predictions but debate around its use continue

Not surprisingly, many of 2023’s predictions centre around ChatGPT and generative AI. The clear theme is that generative AI will unavoidably come to newsrooms and to readers. 

The good news is that some publishers see this more as a saviour than a threat, especially for local news. Joe Amditis highlights the benefits of AI for automation of menial tasks like summaries of events or public meetings. This allows journalists to focus on truly engaging with local communities.

When looking at the evolution of generative AI in 2023, most concerns point to the ethics and quality of generated content. In the context of already low trust in the news, authorship and ownership of AI generated content will need to be addressed. Central to these concerns is also the fact that ChatGPT’s training data ends in 2021.

In 2023 the human role of the journalists will become even more crucial to producing quality and trustworthy journalistic content that can differentiate from AI generated content.  

The year where product focus becomes central to success 

Felicitas Carrique and Becca Aaronson see 2023 as the year where news product teams are no longer a trend and become an essential function in publisher’s organisations.  

This intensified product focus will lead to a world of change in news product approaches in 2023. Be it through more mobile first experiences and vertical video as predicted by Mario Garcia, or through the launch of new out-of-the-box products like the FT Edit as predicted by Esther Kezia Thorpe, 2023 will be a year of taking hard action in digital product innovation. 2023 could be the year where publishers stop clinging to the print past. 

One trend that is particularly interesting to the work we do at Twipe is highlighted by Brain Moritz who talks about 2023 as the year of “rebuilding the news bundle”. As more publishers will start to fight the “age of digital media abundance” more products that focus on rebuilding the news to give people value for money will find success.

It’s about giving [readers] value for their money. It’s about giving readers a reason to subscribe, and then to renew that subscription.The bundle is dead. Long live the bundle.

Brian Moritz for NiemanLab – associate professor at the Jandoli School of Communication at St. Bonaventure University.

The best way to start on such a journey is through edition based products. Contact our team to understand how Twipe NextGen technology helped publishers like Ouest France, The Alabama Lede or The Telegraph in launching new digital edition products.

Understanding the ever more complex audiences to build better relationships 

2023 is a year where news audiences become more complex as newspaper publishers must be able to serve different generations with different habits:

In this context, publishers will focus more on fostering loyalty across the various platforms where these different audiences are present. This is especially in places where a stronger news presence is needed like TikTok or Instagram but also with continued focus on newsletters, which are still here to stay, according to Jim VandeHei.

Understanding the needs of these different audiences will expand beyond use of data in 2023 to direct audience content and 1-1 interaction as predicted by Pia Frey.

Interestingly, some predictions highlight 2023 as year where the power of the platforms will decrease, however social media remains an important channel to reach audiences.

Enjoy our Top 30 picks from the 150+ NiemanLab predictions

Generative AI 

Audiences

Product 

Platforms 

Author

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