[malisper]

> The problem with their algorithms.... is that all that statistics in the world can't help you when you're listening to a guy telling the truth vs an equally good liar.

While that's true for sites in isolation, Google published a paper a few years ago[0] that describes how you could estimate the trustworthiness of a website. The basic idea is you assign a trustworthiness score to each website. Then, you determine how likely a fact is to be true based on the trustworthiness of the sites that state that fact. You can then recalculate the trustworthiness of each site based on whether it agreed with the fact or not.

[0] https://arxiv.org/pdf/1502.03519v1.pdf

[tbrowbdidnso]

What we seem to be running into, is that any strategy based on trusting some sites and not others breaks when very large groups of sites have opposite opinions. Depending on your starting set you will end up with wildly diverging trust scores