Thank you @profdimitrova.bsky.social!

When it rains, it pours! A busy publication week. For this study, we have data offered openly via OSF for those interested! osf.io/bwkez/

Largely, the countries responded AI in lockstep with a key difference: there was far more fear of being replaced by AI among journalists in the US and Canada.

Happy to see this publish in Journalism Studies! First 50 copies are free access!

www.tandfonline.com/eprint/PINGA...

(2) Journalists frequently summoned the "human in the loop" principle for the AI-developed knowledge. The AI knowledge did emerge from nowhere--it came from human-programming, trained on human texts. This is to say that the human touch is very much a part of any professional interventions with AI.

(1) If the lines in using AI for professional work seem blurry, they certainly are to journalists too. Across national contexts, these trade press texts did not distinguish between using AI for knowledge creation and using AI to *enhance* the work they were already doing

We analyzed institutional discourse from four countries--🇨🇦🇺🇸🇩🇪🇬🇧--177 articles in all following the release of ChatGPT 3.5. We find two things:

Glad to see this publish in @digitaljournalism.bsky.social's special issue on "Unfolding disentanglements from platform power!" First 50 copies are free access!

www.tandfonline.com/doi/epdf/10....

But what has not changed or faltered in the slightest? Journalists' perceptions of the audience. Journalists have no problem differentiating the platform from the public; and the journalistic communities faith in the audience remains unwavering.

This has all but diminished, with the journalistic community instead thinking through novel means to reach their audiences without them.

We analyzed 11 years of them. Through this, we argue that while journalistic predictors initially conceptualized social media through a utopian lens (e.g. social media=new audiences/better access to existing audiences)

This study with @jnelz.bsky.social looks at a unique form of data: journalists predictions from Nieman Journalism Lab. The yearly predictions, published from the US based institution, aren't *entirely* predictions. But they are certainly essays about the future that tell us alot about the present.

looks like a pretty big place though. There might be a 1000 just on the small size, between buildings maybe