SODP Dispatch - 8 October 2026

Social media hasn’t killed personal style, it’s killed how we communicate it

 By Catherine Greenwood

This summer, social media was filled with posts declaring that almost anything was “kinda chic”. Repeating outfits was kinda chic. Being overdressed was kinda chic. Doing something unfashionable could, apparently, also be kinda chic.

But can you remember the content of many individual “kinda chic” posts now? Probably not. What is much easier to remember is the format itself: the language, the rhythm, the way an ordinary behaviour or object was reframed as evidence of taste.

That distinction tells us something important about fashion online. We often worry that social media is making everyone dress the same, but perhaps the greater similarity lies in how we communicate being fashionable.

Social media does not only circulate products and trends, it circulates recognisable ways of presenting them. A city street or a zebra crossing becomes the setting for an outfit photograph. Coffee appears alongside carefully placed handbags. Hotels, holidays and fashion events become backdrops. Accessories are photographed in close-up, bodies adopt familiar poses and captions perform effortlessness even when the accompanying image is highly composed.

The individual content changes but the mode of communication often does not.

Fashion has always depended on shared meanings. Clothes can distinguish us precisely because other people understand something about what they signify. Cowboy boots, a Chanel jacket or a football shirt come with cultural associations long before an individual wears them.

What social media has changed is the speed and scale at which those meanings, and the conventions used to communicate them, can circulate.

💬 We want to hear from you: Have you noticed a "house style" spreading across your industry's online content, the same format repeating even as the subject matter changes? Hit reply and tell us; we read every response, and yours might shape a future issue.

🎯 LiveRamp × OpenAI: Measure Your ChatGPT Ad Performance

If you're running or planning ads on ChatGPT, you can now close the measurement gap. LiveRamp's Conversions API (CAPI) Hub connects directly to ChatGPT ad campaigns via secure server-to-server data connections, meaning you get reliable conversion tracking without depending on browser-based signals that often break or go missing.

In practice, this means you can:

• See which ChatGPT campaigns are actually driving conversions — not just clicks

• Optimize spend in real time based on accurate performance data

• Justify and grow your ChatGPT ad budget with measurement data you can trust

As consumer journeys shift toward AI-powered platforms, this gives marketers the infrastructure to keep up, connecting data, measuring impact, and proving ROI on one of the fastest-growing ad surfaces in the world.

Read more ▸

By Vahe Arabian

📉 Traffic Has Moved On, and Your Data Is How You Follow It

Most publishers I talk to are still waiting for traffic to return to where it used to be. It's moving instead, and it isn't returning in the shape it left. Search is fragmenting, referral is shifting elsewhere, and the next distribution shift is already being decided inside models none of us control.

The publishers who come out of this ahead won't be the ones chasing the next channel. They'll be the ones who own their data and can act on it faster than anyone else. And that starts with building the pipeline yourself instead of renting it.

Here's the number that frames it. Publishers surveyed for the Reuters Institute's 2026 outlook expect search traffic to fall by more than 40% over the next three years, and 76% of commercial publishers say paid content will be their main revenue focus. Chartbeat data in the same report already shows Google search traffic to news sites down by a third. Paid content only works if you know who your readers are. The gap isn't ambition. It's plumbing.

So, here's what building your own pipeline actually looks like:

• Capture at the source. Every page view, scroll depth, newsletter open, search query and logged-in session — collected into one store you own, not scattered across five dashboards you rent. If you can't get at the raw signal, you don't have a pipeline. You have a subscription.

• Model it around the reader, not the pageview. Stitch sessions into a single identity. One engaged reader is worth more than ten drive-by clicks, but you can only prove that, and price it, if your data is joined up.

• Make it activatable. Data sitting in a warehouse earns nothing. The value shows up when it drives what you publish next, who you keep, and how you package audiences for advertisers. The warehouse is the cost. The activation is the return.

• Treat it as infrastructure, not a project. In Digiday's own research, 85% of publishers expected first-party data to be the biggest driver of ad revenue outcomes in 2026. The ones who build it once and move on keep losing to the ones who run it as a standing capability.

None of this needs a seven-figure budget or a twelve-month roadmap to start. It needs you to stop treating your audience data as something other people hold on your behalf.

The goldmine was never the data itself. It's the speed and independence a pipeline you own gives you when the next shift hits, and it will.

News Movement treats creators as collaborators, not competitors | INMA

According to Rebecca Hutson, editor-in-chief of The News Movement: “The traditional newsroom is dead.” The three-year-old, social-first news business has built its newsroom around challenging traditional assumptions about how journalism is commissioned, produced, distributed, and funded. Rather than expect audiences to seek out its journalism, it publishes on Instagram, TikTok, YouTube, LinkedIn, and Substack to reach them where they already spend time.

Read more ▸

How a plan to turn the Spokane Spokesman-Review into “The People’s Paper” ended in a newsroom revolt | Nieman Lab

When the Spokesman-Review announced plans to transfer Spokane’s 143-year-old, family-owned newspaper to a nonprofit founded by executive editor Rob Curley, it took over the front page. “The People’s Paper,” read the April 16, 2025, headline, saying ownership would transfer “to you, the community.” Key to the plan was Curley, the folksy self-proclaimed “journalism nerd” who burst into Spokane a decade ago, declaring a love for Gonzaga University basketball rivaled only by his love for Disney.

Read more ▸

Public demand for data-center answers creates an opportunity for local news | Editors & Publishers

You may have seen the viral videos of contentious city council meetings from around the nation, where data-center development is broadly under debate. The public has no shortage of questions, concerns and opinions about data centers and the impact on their communities — questions about utility costs, land grabs, freshwater depletion, contamination, and economic concerns, such as regulation and oversight, tax incentives for data-center owners, jobs during and after construction, and whether there is a net gain or loss to public benefit.

Read more ▸

Reuters Sees New Value in Decades of Archived News Footage | A Media Operator

For decades, media companies have been sitting on potentially valuable archives that were simply too expensive and cumbersome to fully monetize. Reuters thinks AI can change that equation. The news agency is putting that theory to the test with British television news producer ITN, whose more than 70 years of broadcast footage—including the release of Nelson Mandela, the fall of the Berlin Wall and always-popular royal weddings—will become searchable and licensable through the Reuters Connect marketplace, a place where media companies can license Reuters and third-party news, photo, video and other content.

Read more ▸

Google Changed Its Helpful Content Guidelines To Emphasize Good ‘Main Content’ | SEJ

Google recently made substantial updates to my favorite piece of search documentation: Creating helpful, reliable, people-first content. For years, this has been my favorite Google documentation because it reflects the exact principles Google is training its machine learning ranking systems to replicate. It amazes me how we don’t talk more about this document. As an industry, we tend to focus on the ranking algorithms that existed before Google introduced machine learning systems to help predict what is likely to be helpful to a searcher.

Read more ▸

LinkedIn shares checklist for B2B marketing campaigns | Social Media Today

LinkedIn has shared a new checklist to help B2B marketers maximize their in-app campaigns, by aligning with evolving discovery behaviors, and shifts in how decision-makers consider key purchases. As explained by LinkedIn: “Today, B2B marketers face growing pressure to show how their work drives measurable business results. Buyers research, compare, and form opinions about vendors long before they talk to sales, and LLMs have made that process faster and harder to see.

Read more ▸