Selected work

The crowdsourced moderation project faces a choice between scale and legitimacy.

Indicator found an ecosystem rife with spurious claims, fake products, and AI-generated cheaters.

This group of X accounts tried to keep Tory tweets fact check-free.

Daily News Now tops search results for local news podcasts with AI content.

Synthetic videos of Renée Good are the latest form of technology-facilitated dehumanization.

Shallow impersonations of Telemundo, CNN, Fox News and other media got more than 200 million views posting fake ICE arrests and bombastic AI slop about geopolitics.

LinkedIn deleted 27 pages with almost 6 million followers.

The platform’s Spanish-language misinformation problem led me to a Brazilian marketplace for monetized TikTok accounts.

Our exclusive analysis estimates that the nudifier economy may be worth up to $36 million a year.

Ads shown millions of times in five European countries promote Israel’s justification for military intervention.

Indicator’s latest audit of three generators and five social media platforms revealed multiple gaps.

Much of Grokipedia’s content is highly derivative of Wikipedia. But citation practices differ greatly, with Grokipedia citing many more sources deemed “generally unreliable” or “blacklisted” by Wikipedia — including dozens of citations to sites like Stormfront and Infowars.

Getting a note published has a positive effect on future contribution. That highlights the risk in the current system, where the proportion of notes considered “helpful” — and therefore shown on X — is just 10%, and declining.

Explores the spread of health rumors and verified information on social networking sites using the Zika virus as a case study. Rumors had three times more shares than verified stories.

Google has highlighted fact checks in Search and News for almost three years as a way to help people make more informed judgments about the content they encounter online.

A model curriculum for journalism educators on disinformation: seven modules covering trust, information disorder, fact-checking, social media verification and combatting online abuse.

In January 2018, the European Commission set up a high-level group of experts to advise on policy initiatives to counter fake news and disinformation spread online.

Zuckerberg didn’t mention that a big chunk of the content fact-checkers have been flagging is not political speech, but the low-quality spammy clickbait that Meta platforms have commodified.

Weeks before the United States presidential election, Google is putting an elections deepfake machine in the pockets of anyone willing to splurge on its Pixel 9 phone.

Despite its global user base, Facebook’s actions against misinformation keep being informed by and analyzed with a narrowly American viewpoint.

Fact-checkers are no longer the fresh-faced journalistic reform movement pushed forward by the tailwinds of positive expectations. We are wrinkly arbiters of a take-no-prisoners war for the future of the internet.

Media Twitter experienced a bit of a meltdown on Wednesday afternoon as space-and-street entrepreneur Elon Musk mused about setting up a crowdsourced service that rates the credibility of journalists.

We spent much of 2016 and 2017 fretting about the effects of fake news and other forms of viral misinformation. So many of the pixels we dedicated to this topic, however, were uninformed or ill-informed.

The end of facts is nigh. Or so we have been assured by headline after headline declaring the 2016 presidential campaign the dawn of the “post-truth” era.