By @TomaszHollanek, Dorian Peters, @DrEleanorDrage, and me. And here is the link to the article: .

New paper out! :). While there is some great reporting about AI out there, we know that news coverage about this topic is often far from ideal. In this study, we explore the issues journalists face when writing about AI, the tools they use, and potential solutions

(On a not-completely-unrelated note: feel free to DM me any tips for dealing with a receding hairline!).

I plan to continue exploring AI and journalism topics, as Large Language Models increasingly mediate news consumption and synthetic media threaten the information landscape. I'm weirdly glad that I’ll be stressing about this for the next couple of years.

My journey @Cambridge_Uni continues!. I'm excited to share that I'm heading back to school again, this time as a PhD student at @CamDigHum , starting in October. My work will be supported by the generous Harding Distinguished Postgraduate Scholarship.

RT @turinginst: 📢 How AI is shaping journalism and journalism is shaping AI. 🕒 17:00–19:15.📅 Fri 11 Apr 2025.📍 In-person @Ri_Science, Londo….

RT @kenzjorg206: 💡Come join this critical discussion on AI & Journalism on April 11th with moderator @umangsbhatt alongside our fantastic s….

The article explores how Germany’s Green Party is shifting focus away from climate action in its election campaign, responding to political pressures and attacks from the far right while trying to appeal to a broader voter base.

Glad to have contributed by providing some data to this great story by Ajit Niranjan.

RT @PorcelinaD: "The accounting of US political giving is complicated and opaque. " if you want to see how we did it you can read our meth….

My first story for @guardian is out!. We analyzed the donations of tech-related billionaires and millionaires to the US campaign. It was a lot of money from a sector that used to keep some distance from politics.

This work is an adaptation of my Master's dissertation (under @giuliocorsi_'s supervision) at the @LeverhulmeCFI , @Cambridge_Uni .

This raises important concerns about source concentration in news distribution, especially as online search is one of the main forms in which people access news today. Check out the preprint for details! .

There was also a slight leftward bias when selecting media outlets ---on top of a leftward bias in national media itself in the analyzed countries.

The analysis showed an increased presence in Google's results for the outlets that published multiple texts on the same topic in short periods.

The findings also noted a recency bias, even in contexts that were not related to breaking news events. This behavior might incentivize publishers to scatter stories over multiple articles to always have something fresh for the algorithm to pick up.

The study also notes that these patterns might be hidden depending on how the investigation is conducted. This concentration pattern could only be seen over time and multiple queries, as a single results page might give a false impression of a balanced output with diverse sources.

This echoes previous findings (and relates to Google's algorithm privileging popular sources) and shows that they apply to different countries and scenarios.

We analyzed over 220,000 search results across Brazil, the UK, and the US, and found significant concentration among a small number of national news outlets.

Excited to share our latest preprint on news diversity in Google Search!. [+ on the thread]