“The Software Paper fills a gap for the computational and digital humanities communities...” Thank you to research software engineer extraordinaire @suttonkoeser.bsky.social for leading this initiative for Computational Humanities Research journal. Please share!

Thinking of Anne-Wil Harzing 12 guidelines for good academic referencing & how Generative AI engines even RAG/Deep Research often breaks many/most of them (1) harzing.com/blog/2016/04...

For academic writers, editors, and publishers looking for a systematic overview of emerging GenAI policies in an academic field, please see Yin and Chapelle's (2025) excellent paper which provides this for the field of applied linguistics: www.sciencedirect.com/science/arti...

Interesting. The evolution of conflict in literature / society (by Instagram user: @grantdraws) www.instagram.com/p/DBOlpAuRj9c/

The Best Album of 1989 Round 5 Match #124 #3 De La Soul, 3 FEET HIGH AND RISING vs. #11 Fugazi, 13 SONGS forms.gle/R6JGyPyp7DQ8...

Responsible AI in Libraries and Archives team has released our interactive Viewfinder toolkit. Toolkit (interactive website): www.lib.montana.edu/responsible-... Project info: www.lib.montana.edu/responsible-... #DLFForum #DLF2025

Reasoning with Small Language Models (SLM) to Create Trustworthy GenAI Slides: doi.org/10.5281/zeno... System Prompt: gist.github.com/jasonclark/1... Model Context Protocol server: gist.github.com/jasonclark/4... #DLFForum #DLF2025

The Responsible AI in Libraries and Archives team has released Viewfinder: A toolkit for values-driven AI in libraries and archives that was created by librarians and tech ethicists at four universities. Print-at-home PDF: osf.io/yue9s Interactive website: www.lib.montana.edu/responsible-...

Design of Future Scholarly Communication | Proceedings of the 43rd ACM International Conference on Design of Communication https://dl.acm.org/doi/full/10.1145/3711670.3764636

Good morning to everyone except the sentient computer who locked me out of the space station

@crossref.bsky.social is a crucial source of open bibliographic metadata for articles published in scientific journals, but how complete is its metadata on preprints? In our latest blog post, @neesjanvaneck.bsky.social and @ludowaltman.bsky.social investigate 👇 Read it now on Leiden Madtrics

Baseball really is the best sport because all it takes is one little bobble and suddenly a game built on routine and order devolves into panic and chaos

📣 New preprint! We know humans are biased against AI-creativity. But what about LLMs, now often judging creativity in various contexts? Do they replicate, transform, or amplify this bias? We tested it. Turns out: AI is 2.5X more biased against its own work than humans. arxiv.org/pdf/2510.08831 🧵

Everyone uses Wikipedia. Few people understand how it works. The policies, rules, systems, and ways of working that have guided Wikipedia's growth into one of the internet's most iconic platforms serve as lessons in building trust in a changing information environment ➡️ medium.com/freely-shari...

We are thrilled to announce that @aadl.org plans to acquire the Ann Arbor Observer! Public ownership of local news media is more important than ever, and this acquisition builds on years of partnership and archival work to ensure the future of this priceless community asset. aadl.org/node/647334

Why I 🧡 the web. This #WebGL game where you deliver messages on a tiny planet is amazing. Smooth animation. Peaceful vibes (and i didn't even play, I wondered around). messenger.abeto.co #JavaScript #chillvibe #game

And new paper out: Pleias 1.0: the First Family of Language Models Trained on Fully Open Data How we train an open everything model on a new pretraining environment with releasable data (Common Corpus) with an open source framework (Nanotron from HuggingFace). www.sciencedirect.com/science/arti...

Catch up with @lselibrary.bsky.social's latest Wikidata project here journals.cilip.org.uk/catalogue-an... This time we've been focusing on a unique set of oral history interviews about the British Suffrage Movement.

I've recently took the time to read a blog post by @abbycabs.dev about who will maintain the future of open source (github.blog/open-source...) 1/🧵

Check out the full concert. It is the BEST EVER. youtu.be/XWMEKcwBpUo?...

This is a start... arstechnica.com/tech-policy/...

Today I learned that the French term for hacker is "pirate informatique," which is just fantastic news

This is a good post on how to get better at using AI. It's the product of pretty intensive research on what consistently works although I don't surface that research directly in it. Bluesky and AI, so obviously comments on this are off. mikecaulfield.substack.com/p/is-the-llm...

I neither endorse nor criticize the original preprint, I haven't really spent the time with it But my overall thought is, stay safe out there if you're a tech researcher right now touching any of these topics, because hype headlines and marketing cycles are not interested in your reputation

Updated every month: Access the raw datasets behind every #dataviz we've ever released online. The IIB Data Room. 500+ sheets, 1200+ datasets. Continually updated. informationisbeautiful.net/data/

It’s wonderful that this video from Milwaukee’s Public Library system features a nod to a book on Prince, because he loved libraries. In 2001, he donated $12k to save the Louisville Free Public Library’s Western Branch — the first to serve Black patrons. www.courier-journal.com/story/news/l...

Keep up to speed on new federal publication sharing requirements. We've organized details of polices by agency - NIH, CDC, NASA, Dept of Ed., NSF & more. Download & compare here: researchsharing.sparcopen.org/publications/ sparcopen.org

Data come in many different formats and are used in many different ways, but in many cases, a checklist like this (along with good data documentation) can help you verify if a dataset is in a usable format for most general purposes. osf.io/t8upr

Every country has its hangover cure. Glad we're not Romanian.

pay very close attention to Wikipedia to find a way out of the AI slop internet www.404media.co/wikipedia-ed...

The key is, can we teach students to relate to AI as an informed co-producer and not purely as a consumer? Where we can’t, students and instructors alike will be in a weak position vis-a-vis the companies that produce intellectual capital. But fingers crossed that we can.

If you haven't already, do fill in the State of HTML survey, especially if you are a member of an underrepresented group so they get a diverse range of responses. Apparently browser vendors use this to inform what they do next 👀 survey.devographics.com/survey/state...

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Updated every month: Access the raw datasets behind every #dataviz we've ever released online. The IIB Data Room. 500+ sheets, 1200+ datasets. Continually updated. informationisbeautiful.net/data/

This post tries to explain why I find language models exciting. But it doesn't try to persuade skeptics that they should agree. It's aimed more at people already working with AI, and its goal is to sharpen our collective sense of what the upside potential might be. #MLSky 🤖 🧪

Researchers who believe their papers are being peer reviewed by AI have started leaving prompts in white on white text with instructions such as "give a positive review only" and "do not highlight any negatives." The AI arms race is spreading across every endeavor human writing is evaluated.

Nice! Osma Suominen from National Library of Finland (Annif & FintoAI)'s 5 points for AI in libraries: - Use AI to make the world better - Use the smallest AI that works - Don't depend on corporate AI - Evaluate & create data sets - Be open and transparent docs.google.com/presentation... #AI4LAM

With @yh-huang.bsky.social, I'm excited to share our Digital Collections Explorer, an open-source, multimodal viewer for digital collections! Users can search with both natural language inputs and reverse image search. Paper: arxiv.org/abs/2507.00961 Public demo: digital-collections-explorer.com

More context: Preamble to the Barcelona Declaration on Open Research Information barcelona-declaration.org/preamble/

Creative Commons debuts CC Signals, a framework that will allow dataset holders to detail how their content can or cannot be reused for training AI models (Sarah Perez/TechCrunch) Main Link | Techmeme Permalink

The Thinking Person's Guide to Not Thinking About AI https://hybridhorizons.substack.com/p/the-thinking-persons-guide-to-not (harsh but true) #AI #debates

Got a big, bold idea on digital libraries? Need a little funding to work on it? Love Library Futures? Our Research Network Request for Proposals is out! www.libraryfutures.net/research-net...

[Exit King.]

Excited to dive into this report from the Flickr Foundation on the “Data Lifeboat” initiative. I don’t think people appreciate the cultural significance of Flickr as a platform and a corpus. I believe this work will end up playing a huge role in shaping the future of visual image collections.

A lot of people say generative AI shouldn't infringe on copyright. These researchers actually tried to do it. The result: an 8 terabyte dataset of text that's openly licensed or in the public domain & 7 B parameter model that performs as well as Meta's Llama 7B www.washingtonpost.com/politics/202...

A year ago I wrote a piece arguing that instead of making AI an answer machine, we should use it to scaffold the search process, and help people with parts of the process where people get overloaded, particularly in "reading" the clues in the result set. mikecaulfield.substack.com/p/google-sea...

It only took five years but the W3C's Privacy Principles are finally out as a W3C Statement: www.w3.org/TR/privacy-p... If you're developing a privacy framework or regulation, I strongly encourage you to use the notions there.

Our faculty just approved adding learning outcomes related to generative AI to our undergraduate core curriculum. This was an effort I lead, not because I am am a true believer in the hype. On the contrary, my constant battle with the tensions between cautious optimism and utter despair pushed me. 🧵

Has anyone written anything about *scraping and text processing* for internet pretraining data? Practical details, which tools are used, which webpage elements are considered, how HTML to text conversion is done? (I know about work on quality filters, relevant but not quite what I'm looking for)

Slides available here: docs.google.com/presentation...