Interview with Jimmy Wales on the progress of Wikitribune, its business model and budget, and topics: politics to start, then Bitcoin and maybe dog breeding
Laura Hazard Owen / Nieman Lab :
Context & Ripple Effects
Ten days after Jimmy Wales launched Wikitribune as a crowdfunded site pairing staff journalists with volunteer fact-checkers against fake news, he sits down with Nieman Lab's Laura Hazard Owen to account for the money and the plan: what the budget buys, how the business model holds up, and which beats come first — politics at the start, Bitcoin later, dog breeding as a maybe.
The interview matters because it is the earliest public stress-test of the pitch: whether a Wikipedia-style contributor model can fund professional reporting, and whether niche topics like Bitcoin can sustain themselves once the politics desk is running.
First-order effects
- Wales is now publicly accountable for the crowdfunding budget, telling donors and press exactly what the initial funds cover and what the revenue model must eventually replace.
- Editorial priorities are set in public: politics gets the first journalists and volunteer fact-checkers, with Bitcoin and other niches queued behind it depending on traction.
Second-order effects
- Other fake-news-era ventures built on volunteers-plus-professionals get a live benchmark: if Wikitribune's burn rate outpaces its donations, rival crowdfunded newsrooms face harder questions from their own backers.
- Topic expansion into niches like Bitcoin tests whether the volunteer fact-checking pool follows the coverage map or stays concentrated where the founding energy was.
Third-order effects
- The pattern that followed suggests the structural limit of the model: by late 2018 WikiTribune had used up its initial crowdfunding funds and grants, and in 2019 Wales relaunched it as WT:Social, a donor-funded social network — hybrid pro-am newsrooms tending to survive only when restructured around donations rather than subscriptions.
- Wales' own trajectory since — defending Wikipedia's decentralized volunteer model against political pressure and negotiating Big Tech AI licensing deals for Wikimedia — points to the durable asset being the volunteer community itself, not any single commercial news product built on top of it.
The trend: Crowdfunded hybrid journalism experiments of the fake-news era are proving short-lived as businesses, with their funding models collapsing into donor support and their founders' attention returning to the volunteer communities underneath.