CauseNet: Towards a causality graph extracted from the web

I know it's a reductive take to point to a single mistake and act like the whole project might be a bit futile (maybe it's a rarity) but this example in their sample is really quite awful if the idea is to give AI better epistemics:

    {
        "causal_relation": {
            "cause": {
                "concept": "vaccines"
            },
            "effect": {
                "concept": "autism"
            }
        }
    },

... seriously? Then again, they do say these are just "causal beliefs" expressed on the internet, but seems like some stronger filtering of which beliefs to adopt ought to be exercised for an downstream usecase.

Oh, ouch, yeah. We already know that misinformation tends to get amplified, the last thing we need is a starting point full of harmful misinformation. There are lots of "causal beliefs" on the internet that should have no place in any kind of general dataset.