Community Notes was meant to democratize moderation power (and spare platforms the burden of thinking through moderation). Instead, a new paper shows that 20% of users cast 80% of ratings, and removing just ten active note writers from the pool changes what happens to nearly 5,000 community notes.
Comms
I can’t believe it’s mid-August. I’m terribly behind on my reading list. Still, I did want to draw attention to this entertaining and extremely shareable article on the glory of Record Head, a legendary record store in Milwaukee. Make sure to watch their public access TV commercials at the link.
The knitting community is one of the great deliberative communities of the internet, and as they’ll happily tell you, knitting and fiber arts are closely tied to industrial and computing history. It’s really hard to pull one over on knitters online, because they have a deep and different relationship to the technical side of their hobby and all of the political and tech history behind it, and especially how it relates to computer engineering. I was thinking about that dynamic while reading about the latest fracas around YouTuber Hank Green, who is taking time away from public life after being called out by his audience, when his AI use was perceived as being in contradiction with his public persona. If you want to go down the rabbit hole on this, here’s a good video summary.
Ultimately viewers are reacting negatively to Green’s admission of using AI to quickly aggregate research to drive his content creation, suggesting that he lost his own creative discretion amid a growing demand for online content. But in the meantime, his technical inaccuracies were paired with completely avoidable gender bias alongside the AI use, which drew additional scrutiny from technical experts. It wasn’t his first go-round with the knitting community, it turns out. Was the bias Green’s or facilitated by his use of the tools? Debate ensues.
I found this American Affairs article on the insidiousness of ad tech quite relevant. It focuses on foreign propagandists’ exploitation of social media, but it’s just as instructive for thinking about ad tech as tech, channel and product, and its entwinement with social media as infrastructure.
Garbage Day uses Jimothy to trace how virality works on the internet of 2026. Related: this story on how the algorithm has prevented us from producing a single “song of the summer.”
UW–Madison communication professor Catalina Toma argues that technology-mediated communication more often supports human connection and well-being than harms it, provided people use it intentionally.
This is a pretty good Tiktok breaking down the historical, cultural and religious meanings invoked in the “computah” memes. An important rule of the internet: the best memes are intertextual.
Scheduled send as alibi? Nice try, Costanza.
Parents wanting stakes lower than a smartphone: consider a kid-friendly Wi-Fi landline, which looks and works like an old corded phone but runs over your internet connection, giving kids the independence to get connected safely. Alternatively, get a VOIP phone through your ISP for ~$10/mo.
rss.chat is a new, free social network service that uses RSS to create a federated social feed that looks and feels a lot like OG Twitter. See also: the launch of HyperTexting, another RSS-based app that centralizes the open web in a way that feels a little like Google Reader (complimentary).
A cool article from Cap Times on how language translation serves as a trust-builder for local government in an era of mistrust.
The Harris digital campaign head does a post-campaign autopsy of the conditions that impacted the DNC’s 2024 presidential strategy, with lessons learned. I enjoyed this read because it was so close to the work that there are relevant takeaways for other public marcomms practitioners.
Some media and ad-tech operations hire “clippers,” people who cut and distribute high volumes of short video across social platforms, to manufacture cultural relevance. The strategy in short: volume generates attention, and attention confers legitimacy.
How early blogging tools like Movable Type made reverse-chronological posting the path of least resistance, killing the curated, librarian-style personal homepage and locking the whole web into the chronostream.
Reading Timothy Chester’s reflections on last week’s Canvas incident. As institutions increasingly outsource the technical load to cloud service teams, IT incident response becomes about communication.
Why I'm broadly skeptical of device bans in K-12
Friday, May 8, 2026
Watching a local phone ban policy snake through the community this week. Like others have already said, my concern is mostly related to enforcement, as we know enforcement for all school policy lands unevenly across school populations at the expense of Black students. But also, my experience is that the local school system is not communicative in a way that reinforces student and parent desires for two-way communication, especially considering the logistics of having kids who need transportation and after school arrangements.
When I was young, there was a pay phone on every corner and a central landline in every home. We don’t live in that world anymore – in our world, phones and other personal devices are part of our daily processes for school, work and family logistics and communication with friends, family and the broader world. Same for kids with devices.
None of this means screens are neutral or that Jon Haidt is entirely wrong about attention and comparison dynamics. But Haidt et al diagnose a genuine social problem and locate the cause as technology design, then arrive at solutions that are driven by individual consumer behavior. Ultimately he does not call for taxing and regulating algorithmic platforms, regulating algorithmic amplification of distress, regulating algorithmic amplification of marketing, reducing economic precarity, or doing anything about climate change linked to tech. All of the behavioral changes indicated (device bans, Faraday bags) set up fights between kids and adults on phone access at the individual behavior level, fights with consequences that generally land harder on certain students.
While this issue roils locally, my kiddo’s locker was broken for two months this year, and while waiting for repair, she got dinged for having her device in her pocket in class when the locker wasn’t a secure option. She had shoes stolen from her locker in the meantime, proving the point.
I spoke with my kiddo at length to get her thoughts. Her takeaway as an 8th grader is that kids have second and third secret devices that they hide from parents and teachers already – often, mom and dad’s old devices slipped from a junk drawer and connected to wi-fi. She suggested we adults don’t fully appreciate the kids’ ingenuity around their devices, and how they view their phones and tablets as the means to get and stay connected with one another.
While talking, I was reminded of the dance between students and the school system’s IT department during the COVID-19 shutdown. In our community, the kids were in remote learning for a full year and a half, and the IT department chased them around their approved digital tools like a game of whack a mole, shutting down access to chat and collaboration. In the meantime, almost no socialization happened between students that wasn’t directly observed by teachers, on camera. By 2021, the kids were engaged in secret, digital note-passing, chatting within Google docs and slide decks to avoid teacher surveillance. Where there is a will, there is a way.
NYT writes about the surge of “slopaganda.”
What does it mean for the culture when everything (everything!) is content, even war and mass shootings?
More on user-generated content marketing and how it works. UGC is a powerful example of “social proof,” where people’s parasocial tendencies are leveraged to boost brand credibility and conversions. This is the consumer psychology behind celebrity and influencer sales and endorsements.
Watching the fallout: Fans discovered that the band Geese benefitted from a hefty marketing campaign. Folks are debating whether this makes Geese a “psy-op” or merely “sell-outs”, to use an old term of art. Meanwhile the marketing firm behind the push is getting a ton of attention in its own right.
Garbage Day on what makes something cool to Gen Z, and how this is impacted by the degradation of “pillars of coolness” in previous generations like culture rags and MTV. GD predicts that “cool” will be measured by lack of polish and “how many human beings left their house to experience it.”
Pulling from some old communication theory while I am thinking about blogging and the indie web, and especially thinking about Dallas Smythe, who argues that mass media doesn’t produce content but audiences, packaged and sold to advertisers. On social media, users aren’t just the audience being sold, they’re also a labor force co-producing the content that attracts more audience.
Looking back at the feminist blogging era with the benefit of my current experience, I’d argue that what made Feministe different from our peer blogs was the commitment to convening the audience and sharing the platform without packaging it up for or selling to advertisers. That was largely my boundary – with as much market space as it commanded for the time, it was never monetized at scale, though individual contributors were free to use it as they wanted to build their audiences. We eventually committed to a small advertising carousel to cover hosting costs.
I recall someone balking at me for refusing to broadly monetize when I spoke at Blogher in 2005, but it was a hard line, for better or worse.
An observation on feminist writing and Jezebel: Throughout history, a lot of time and energy has been spent mediating how and whether certain kinds of people talk to one another. The feminist blogosphere, for all its faults, was the first time lateral, public, unmediated conversation happened among women at scale. Many kinds of women were there that had no space at other tables. And it was very messy, and very revealing, because it was the first time that happened at scale for all to see.
Some thoughts:
- When I started in 2001, the most viewed website about feminism on the internet was a solo blog by a man in Portland.
- I just pulled Mindy Seu’s “Cyberfeminism Index” off my shelf, a veritable tome, and the feminist sites don’t even make the table of contents. Which is not an indictment of the book, but an example of how ephemeral all this is online.
- You can see this on Twitter in the live debate about what Jezebel was and wasn’t, a conversation happening mostly through collective remembering. Jezebel joined the pack of blogs at some point, and they were big dogs, but they weren’t responsible for the creation or steering of the digital movement. They were a glossy, spendy repackaging of the organic thing, backed by real investors. It’s wild to see the entirety of the movement attributed to Jezebel by young Twitter, given that most of the indies kept Jezebel at arms’ length until much later. They were pretty widely considered a corporate interloper in a grassroots arena, though in hindsight that wasn’t right either.
- The first time the indie bloggers gave Jezebel their day was when they published the untouched photographs of Faith Hill on the cover of Redbook, a women’s magazine. The Redbook post tore the veil off the beauty industry in real time. Until then, the idea that “celebrities are photoshopped” and “photos are retouched” was almost an urban myth, which is easy to forget given the ubiquity of filters and AI now. Then, you heard about it but couldn’t confirm it for yourself unless you had firsthand experience. Retouching was a discrete industry practice, digital tools were still expensive and clunky, and all of it was surrounded by a lot of tradecraft and secrecy. The mystery of celebrity image management exploded with an animated gif on a public-facing post, and it was rad.
A write up on sycophancy in popular chatbots.
I misused PESOS below, c’est la vie, I’m doing a POSSE model. Here’s someone smarter than me on POSSE v PESOS.
A good essay on writing and communication in this time. Ultimately the pickle of AI writing is that meaning is something best made through collaboration.
AI in practice: Chatbot tool comparison
Sunday, March 8, 2026
Come look over my shoulder while I explore how and whether LLMs are good writing tools: Here’s a wee version of the LLM comparison exercise I did with my team. We’ll make it a two-fer so you can see how the “good writing” skill works in practice, though we’ll see how that actually goes.
One of the more useful things you can do with an LLM is hold up a few ideas side by side and apply lenses to them. I know this history pretty well, so I asked a series of LLMs, why is Wisconsin’s cultural identity and cohesion stronger than Indiana’s, from a historical and business perspective?
Here are the answers in one doc, for comparison.
Each LLM will give us more or less the same story, different flavor. Within the industry, the differences across the models reflect “model personality.” Asking “why” instead of “whether” will probably drive the answer to favor Wisconsin. Using multiple lenses (two states, historical + business, identity + cohesion) forces the LLM to cross-reference across more of its training data, which tends to produce a more comprehensive answer.
For all the chatter about consciousness and whatever, remember that an LLM is an infinite series of if/then/elses applied to human language and semantics, so being able to talk about language and communication, getting meta with the tool and how you think through language, helps a lot when using one. This is maybe the one thing I like about experimenting so hard with the tools. I’m thinking about the technical side of writing and enjoying it quite a lot.
Functionally: all of them acknowledge hard historical truths within the subject matter and don’t shy away from critical perspectives, which is good. Both Gemini and Copilot include in-line links, which lets you judge the output’s authority in the moment as a reader. I liked Copilot’s more than I expected here. Claude’s answers are more lyrical and do provide more context, and yet do not encourage checking against outside sources by providing links within the output. And you can see that even with the good writing skill calling out hard bans on certain structure, Claude plows right through them.
Model personality: Claude favors sociological answers to Copilot’s economic answers. Claude is also highly intellectual and narrative by comparison, and that narrative style can mask nuance by sinking relative context within the storytelling. Gemini simplifies, boosts and cheerleads where the others don’t, and really goes hard on Wisconsin’s reputation as a drinking and Packers state when there are stronger structural arguments in play. Copilot is tricky because it looks authoritative like a briefing, which also makes it easily “extractible” for the user, but every citation requires authentication unless this is one of those “good enough” tasks.
As a writer, something I find annoying across the whole spread is the semantic reveal. LLMs are semantic machines, and it is persistently revealed in ways that are weird to the human ear. All of them go out of their way to describe things as “structural,” “connective” as in “connective tissue,” “load-bearing” and “legible.”
Finally, I included a second tab where I asked Claude for analysis across the four outputs, where it suggests that my framing of the question is altogether kind of problematic. It shows how a strong prompt is sometimes also a bad approach.
There are a lot of possible takeaways here, but I’d rather set aside the question of which tool is “good” or “bad” or “better” and think more about the patterns across the tools and their implications.
You might call this a taste test: Obsessed with the story about the McDonald’s CEO and how his LinkedIn-style videos selling the McD’s franchise have escaped containment, leading to one of the funnier CEO/product marketing dynamics in recent history. Burger King’s CEO swooped in, holding widely-marketed listening sessions with customers and to demonstrate his love for the Whopper in contrast with the deeply weird McD’s videos. Must read: Internet long-hauler Katie Notopoulos on how direct-to-public marketing works when the public is more familiar with the product than the org’s leaders.
My teenager thinks fast food is cool and subversive (cue the sound of one hundred moms groaning) and she and her friends regularly talk shop. They are Taco Bell fans and think burger stops are kind of gauche. Not gauche: Baja Blast.
In the meantime, the fast food sector is becoming a playground for AI approaches, causing a lot of nervous discussion on social media and in tech spaces.
Developing a new pet theory that you could theoretically crank AI outputs toward your vision by having an organized link blog revolution.
Reading about a new “slow” RSS app called Current.