Yesterday I installed a plugin so my most recent bookmarks at del.icio.us, the social bookmarking site, show up in the left menu of my blog. That’s right, scroll a bit and you’ll spot them. (Well, unless you’re reading this in the distant future and I’ve taken them away)

That’s cool. I like being able to share those little finds that aren’t quite big enough for a whole post but that I want to show people.

Today I realised that CiteULike does RSS too, and the plugin’ll take any RSS. And since I really have been collecting research papers I want to read or have recently read at CiteULike, my feed changes often. Took me about two minutes to copy and paste the del.icio.us code and stick my CiteULike feed in there instead. So now you can also see research papers that have recently taken my fancy.

I can’t decide though whether it would be better to show you research papers I’ve just read, or research papers I really, really want to read, instead of research papers that have simply caught my eye, as it’s set to display now. What do you think?


Discover more from Jill Walker Rettberg

Subscribe to get the latest posts sent to your email.

2 thoughts on “showing you what i’m reading

  1. christy dena

    What a great idea. I’ve been slowly popping my website links into del.icio.us and found the process of finding and entering so much quicker — using CiteULike will be another big leap from providing those helpful resources for others. I say put them all there (whether you’ve read them or are about to). Who cares what usage status they’re at?!

  2. JosÈ Angel

    I agree with Christy; in my own list I include “thing’s I’m reading at the moment”, some I’ve read the title only (but they are really going to be read) some are in progress and some I’ve recently finished and are still around my head. By the way, I also read (and translated into Spanish) the Pinter Nobel lecture you link to.

Leave A Comment

Recommended Posts

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.