“AI gap” believers make much of China’s advantages in data, especially vis-a-vis the social credit system. Unbound by privacy norms, the story goes, the state is hoovering up data that will allow the world’s most populous nation to train AI on the world’s largest data sets. Beijing has repeatedly vowed to make social credit data available to the public.

But how much of this data is actually making it to users? Not too much, finds this week’s translation—a heavily abridged academic article from the Journal of Library and Information Science. Based on a review of data availability across local governments, the researcher finds that data provision is patchy and poorly standardized.

Like so many aspects of the social credit system, the objects in view may be further away than they appear.

Start your free trial.

Get instant access to all our premium content, newsletters, and online community.

Monthly Membership

Quarterly Membership

Yearly Membership

Already a member? Login here

What you get

Full access to all premium content

Member's only newsletters

Preferential access and discounts to all TechNode events

Direct access to the TechNode newsroom

Monthly Membership

Quarterly Membership

Yearly Membership

Jordan Schneider

Jordan Schneider is a freelancer based in Beijing and the host of the ChinaEconTalk podcast. More by Jordan Schneider

Dev is a Fellow and Program Lead at Digital Asia Hub, as well as a Yenching Scholar at Peking University. His interests lie at the intersection of technology, politics, and policy, especially in Asia, and... More by Dev Lewis