During the Digital Methods mini-workshop that Richard Rogers and Sabine Niederer held for us here in Bergen today I realized that I could quite easily continue my explorations of which words people use about the field of electronic literature using web material. In my Dichtung Digital essay I used Google’s book search to show how the terms have emerged in print literature about the field. One of the problems with this was that e-lit is obviously more discussed online than in print, and that the book search only contains books published until 2008.

Some of the tools the Digital Methods Initiative have developed make it easy to look at how the terms “electronic literature” and “digital literature” and others are actually used by using the Google scraper to analyze blogs and websites in the elit field. I hadn’t really thought about that before, but it would be pretty simply: dump a list of authors’  websites (or simply blogs, or journals or other sites) from the ELMCIP Knowledge Base, feed the URLs into the URL field of the Google Scraper and the terms I’m interested in into the keywords field.  I tried a very quick version just scraping eliterature.org and dichtung-digital.de for “electronic literature” and “digital literature”, and unsurprisingly there are a lot more occurrences of “electronic literature” on the website of the Electronic Literature Organization. Dichtung Digital, on the other hand, a bi-lingual journal based in Germany, has twice as many counts of “digital literature” as “electronic literature”, which would begin to confirm my impression that “digital literature” is more commonly used in Europe. Obviously there is a lot more that can be done here – but it’s rather lovely to be able to do even that in five minutes, you know? Here are my results. The numbers are how many counts of each term Google found on each site.

Another quick and dirty way of seeing how people are using terms is by using Google Insight to graph what people have searched for.

Apart from that strange spike for “digital literature” in 2004 (what happened then?) you can see the two terms are almost exactly equally popular as search terms, although the frequency of searches for both sunk gradually from 2004 until 2006 and then plateaued. (Unfortunately the Google Insights data only goes back to 2004 so I don’t know what happened before that.) The decrease surprises me actually based on the increased amount of activity there seems to be in the field in terms of conferences, seminars and publications. Perhaps people are using different words in search? Or are the people who search for “electronic literature” different people to the people who are increasingly active in publishing and conferencing?

So what, you might ask? Well, it’s interesting to see how a field is defined and how the terms used to refer to a field emerge. I think that “electronic literature” is more used in an Anglo-American context and “digital literature” in Europe. I’d also like to know more about developments over time.

Richard Rogers noted that it’s usually more interesting to find contrasts rather than searching for as many different keywords as possible. Perhaps when I dig deeper I’ll find that the difference between “electronic literature” and “digital literature” really isn’t the most interesting contrast, or even that there’s not that much of a contrast there. It’s a place to start, though.

Next I want to get much larger sets of URLs from the ELMCIP Electronic Literature Knowledge Base and start by trying these keywords on them – then I want to try which other keywords are interesting. Elisabeth Nesheim, who’s been working on the ELMCIP project and is starting a PhD with us this autumn, tried simply using tags like “Flash” and “javascript”, and got some promising quick results. We’ll see whether that sort of technical spread of terms leads anywhere interesting. I wonder what else we might find?

I also want to try out some of the other techniques mentioned in today’s workshop, like using the Issue Crawler to generate lists of which URLs link to which, and I would like to use their system for getting PDFs of historical screenshots of websites out of the Internet Archive to generate a screencast that shows how they’ve changed over time. There are so many tools available on the Digital Methods site I want to play with.


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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.