







Escape newsletter inbox chaos and algorithmic surveillance by building your own enshittification-proof newspaper from the writers you already read
Oh God, It's Raining Newsletters
On the rise of newsletter production, consumption, and monetization, and how email is one of the most powerful and resilient publishing platforms.

Q&A: Robin Berjon on freeing journalists' feeds.
The AT protocol and “long-term, lifelong, sustainable protection against enshittification.”

fastfadingviolets/new-intelligencer
A claude agent that summarizes your bsky feed to produce a bespoke newspaper

Don’t just Build a Second Brain: share (part of) it
I’m exploring how MyHub.ai could become a unique hybrid of personal publishing and productivity tools by launching a newsletter powered by…

Why the Algorithm Loves a Villain, And How to Beat It
When the internet is full of distortions, fake news, and AI-generated slop, how can facts and journalism rise to the top? Former BBC and Vice journalist Sophia Smith Galer has one possible way to…

Newspaper3k: Article scraping & curation — newspaper 0.0.2 documentation
Inspired by requests for its simplicity and powered by lxml for its speed:
How would I improve RSS? Three ideas
Posted on Wednesday 29 Jul 2020. 1,702 words, 7 links. By Matt Webb.

Building trust in the open
How Protocols for Publishers points to the future of journalism – and the web

After the feed with Eli Pariser, Ben Smith, and Jasmine Sun
AI use in American newspapers is widespread, uneven, and rarely disclosed
AI is rapidly transforming journalism, but the extent of its use in published newspaper articles remains unclear. We address this gap by auditing a large-scale dataset of 186K articles from online editions of 1.5K American newspapers published in the summer of 2025. Using Pangram, a state-of-the-art AI detector, we discover that approximately 9% of newly-published articles are either partially or fully AI-generated. This AI use is unevenly distributed, appearing more frequently in smaller, local outlets, in specific topics such as weather and technology, and within certain ownership groups. We also analyze 45K opinion pieces from Washington Post, New York Times, and Wall Street Journal, finding that they are 6.4 times more likely to contain AI-generated content than news articles from the same publications, with many AI-flagged op-eds authored by prominent public figures. Despite this prevalence, we find that AI use is rarely disclosed: a manual audit of 100 AI-flagged articles found only five disclosures of AI use. Overall, our audit highlights the immediate need for greater transparency and updated editorial standards regarding the use of AI in journalism to maintain public trust.

AI use in American newspapers is widespread, uneven, and rarely disclosed
AI is rapidly transforming journalism, but the extent of its use in published newspaper articles remains unclear. We address this gap by auditing a large-scale dataset of 186K articles from online editions of 1.5K American newspapers published in the summer of 2025. Using Pangram, a state-of-the-art AI detector, we discover that approximately 9% of newly-published articles are either partially or fully AI-generated. This AI use is unevenly distributed, appearing more frequently in smaller, local outlets, in specific topics such as weather and technology, and within certain ownership groups. We also analyze 45K opinion pieces from Washington Post, New York Times, and Wall Street Journal, finding that they are 6.4 times more likely to contain AI-generated content than news articles from the same publications, with many AI-flagged op-eds authored by prominent public figures. Despite this prevalence, we find that AI use is rarely disclosed: a manual audit of 100 AI-flagged articles found only five disclosures of AI use. Overall, our audit highlights the immediate need for greater transparency and updated editorial standards regarding the use of AI in journalism to maintain public trust.

Artificial Intelligence in the News: How AI Retools, Rationalizes, and Reshapes Journalism and the Public Arena
<p>Download the pdf here. Executive Summary Despite growing interest, the effects of AI on the news industry and our information environment — the public arena — remain poorly understood. Insufficient attention has also been paid to the implications of the news industry’s dependence on technology companies for AI. Drawing on 134 interviews with news workers […]</p>

News folks! I'm psyched to share a new project to help indie journalists combine our power. It's called NewsNews (@nwsnws.com). The idea is to give readers an easy way to find a wide variety of high quality news and journalists a low-effort revenue stream. Journalists, sign up here to learn more:
Join US | nwsnws.com
nwsnws.com🧵 On social media, we feel trapped in “filter bubbles” and “echo chambers.” Often, we see this as a problem with the algorithm. Our new essay argues the problem is the feed interface itself: it constrains our movement—all we can do is scroll. We lay out an alternative vision:
From Feeds to Trails
leaflet.pubYeah I'm picturing a kind of bluesky but instead of bleets you post papers. Anyone can upvote, anyone can make their own feed(s) etc. There will inevitably be more content than can be expertly reviewed but you could at least follow people who are able to find more "obscure" authors to promote