I’ve exhausted my liveblogging enthusiasm, but it doesn’t really matter since the videos of the presentations are being put up anyway. Kathleen’s talk on The Pleasure of the Blog was really interesting, and I’m excited that we’re thinking about similar things but in usefully different ways. Right now there’s a presentation of a study of German political blogs during the campaign. There’s some useful looking data here – statistics on who blogs and a summary of success factors for political blogs based on their research – and this is all conveniently gathered in a full paper for your reading pleasure: Weblogs in Political Campaigns: The Critical Success Factors by Roland Abold and Maren Heltsche.
The videos of both will be linked from the program page.


Discover more from Jill Walker Rettberg

Subscribe to get the latest posts sent to your email.

1 Comment

  1. craig

    Blogs in politics sounds just so middle class Jill. Come on. I don’t mean to be rude, but at least 60% of the world is much more Left wing than that. Have you got any working class mates? Have a beer and a chat with someone who rally understands politics. Choose a side. I dare you.

Leave A Comment

Recommended Posts

AI STORIES

AI-generated stories have longer endings than human stories

My colleague Jessica Witte has just shared a preprint where she compared the emotional arcs of the stories we generated using gpt-4o-mini to those of human-authored (pre-2022) stories from the subreddit r/WritingPrompts, conveniently gathered in this dataset. She found a distinct difference in the endings of the LLM-generated stories: both […]

How to peer review a paper in 2026

Dorothy Bishop, a psychologist, wrote a useful list of what reviewers need to look out now that so many papers are bad science that looks good thanks to LLMs. Read her whole blog post, she explains it well, but here’s a brief version because I’m pretty sure we’ll be needing […]

“So what if it was ChatGPT? It *could* have been true!”

I recently read a good article on the different kinds of truth a language model operates with by Luke Mann, Liam Magee and Vanicka Arora, Truth Machines: Synthesizing Veracity in AI Language Models, but despite its lovely typology of truths (consensus, correspondence, coherence and pragmatic) it doesn’t help me with […]

AI STORIES

AI shimmer and sparkle

I have this hunch that sparkles and glow and shimmer are somehow a point in the latent spaces of LLMs that have more connections than you would expect. Perhaps their connotation to magic and to the unknown matches some of the mystique of genAI? Or perhaps these words are used […]

Don’t do a systematic review if you’re in the humanities

This paper is a great example of why you probably shouldn’t use a systematic literature review for a theoretical and conceptual research question like “How does artificial intelligence affect the perception of authenticity and aura in art?” However, if you’re looking for an annotated list of 48 recent articles about […]