I didn’t understand why a denial of February allegations of an affair with Kerry was on the top ten at Blogdex until I got well into the article. It’s written by Alex Polier, the young journalist who was falsely said to have had an affair with Kerry, and she doesn’t just write her version of the story, she investigates how the rumour was spread. Some important journalists and politicians spread it without knowing whether it was true or not:

“I regret it,” he says now. “I read it in the paper, I heard it gossiped about, but I didn’t do anything like reporting. I joked about it on the Internet in a way I would at dinner. Then I learned the Net is like print, not like dinner.” (David Frum, qtd by Polier)

But further back, the rumour wasn’t even started by any individual. A blogger flippantly claimed that an affair between Kerry and an intern would be leaked next week, and journalists followed up by searching until they found the most likely intern, without bothering to check whether there was any evidence of an actual affair.

It was becoming clearer: No single person had to have engineered this. First came a rumor about Kerry, then a small-time blogger wrote about it, and his posting was read by journalists. They started looking into it, a detail that was picked up by Drudge—who, post-Monica, is taken seriously by other sites like Wonkette, which no political reporter can ignore. I was getting a better education in 21st-century reporting than I had gotten at Columbia J-school. (Polier, page 5)

Polier blames the internet for the speed with which the rumour took root: “I am struck by the pitiful state of political reporting, which is dominated by the unholy alliance of opposition research and its latest tool, the Internet.” Perhaps she’s right. Maybe it spread faster. With less research. Good and bad.


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Academics in Norway: Sign this petition asking for research-based discussions of how to use AI in universities

I just signed a petition calling for Norwegian universities to use research expertise on AI when deciding how to implement it, rather than having decisions be made mostly administratively. ,  If you are a researcher in Norway, please read it and sign it if you agree – and share with anyone else who might be interested. The petition was written by three researchers at UiT: Maria Danielsen (a philosopher who completed her PhD in 2025 on AI and ethics, including discussions of art and working life), Knut Ørke (Norwegian as a second language), and Holger Pötzsch (a professor of media studies with many years of research on digital media, video games, disruption, and working life, among other topics).  This is not about preventing researchers from exploring AI methods in their research. It is about not uncritically accepting the hype that everyone must use AI everywhere without critical reflection. It is about not introducing Copilot as the default option in word processors, or training PhD candidates to believe they will fall behind if they do not use AI when writing articles, without proper academic discussion. Changes like these should be knowledge-based and discussed academically, not merely decided administratively, because they alter the epistemological foundations of research. Maria wrote to me a couple of months ago because she had read my opinion piece in Aftenposten in which I called for a strong brake on the use of language models in knowledge work. She was part of a committee tasked with developing UiT’s AI strategy and was concerned because there was so much hype and so few members of the committee with actual expertise in AI. I fully support the petition. There are probably some good uses for AI in research, but the uncritical, hype-driven insistence that we must simply adopt it everywhere is highly risky. There are many researchers in Norway with strong expertise in AI, language, ethics, working life, and culture. We must make use of this expertise. This is also partly about respect for research in the humanities, social sciences, psychology, and law. Introducing AI at universities and university colleges is not merely a technical issue, and perhaps not even primarily a technical one. It concerns much more: philosophy of science, methodological reflection, epistemology, writing, publishing, the working environment, and more. […]

screenshot of Grammarly - main text in the middle, names of experts on the left with reccomendations and on the right more info about the expert review feature
AI and algorithmic culture Teaching

Grammarly generated fake expert reviews “by” real scholars

Grammarly is a full on AI plagiarism machine now, generating text, citations (often irrelevant), “humanizing” the text to avoid AI checkers and so on. If you’re an author or scholar, they also have been impersonating and offering “feedback” in your name. Until yesterday, when they discontinued the Expert Review feature due to a class action lawsuit. Here are screenshots of how it worked.