Search Here ….

Tags

affect AI AI slop AI STORIES alumni Blogging book chatbot ChatGPT conferences cultural bias data analysis electronic literature ELMCIP emoji epistemology exhibition fascism floating motifs Gephi gestures history lip-syncing LLMs machine vision methodology network analysis neural networks norsk open access publication publications R research science fiction self-representation selfies social media Surveillance talks teaching trip report twitter UiB visualisation
Uncategorised

searching twitter

Jill4 Comments

So, twitter’s advanced search lets you do things like, oh, see all tweets in a 15 mile radius of Bergen, for instance. And if you do that, you might see a tweet from junebre who turns out to be June Breivik, the project manager for digital schools in our area. And who has a blog, with many interesting posts (the video in this one had me roaring with laughter), among others one about Del og bruk, a Ning network that in the course of a few weeks has gathered nearly 500 Norwegian teachers who use the social web in their classrooms. I love web serendipity – and it looks as though Twitter can aid it.

Discover more from Jill Walker Rettberg

Subscribe to get the latest posts sent to your email.

4 thoughts on “searching twitter”

  1. William Patrick Wend

    I love Twitter’s search function. When Google Docs was down last week for a little while I found out what was going on not even by asking my friend list, but by just searching on Twitter. Amazing.

    This weekend I installed a Greasemonkey script which adds Twitter search results to Google too.

  2. b¯rge

    There’s an error with one of your links in this post, removing some of the text.

  3. Jill Walker Rettberg

    Thanks B¯rge, fixed now!

  4. June

    Hi and thank you for refering to my blog. I found your blog through Twitter, and will keep on reading your very interesting blog.

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 […]

Academia

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 […]

AI and algorithmic culture

“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 […]

AI and algorithmic culture Digital Art

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 […]