I agree. I feel this points towards the limits of linguistic-based technology. Relying just on text strings to find correlations/matches is not enough. What I w

I agree. I feel this points towards the limits of linguistic-based technology. Relying just on text strings to find correlations/matches is not enough. What I wonder is: why don't recommendation engines go beyond and try to cluster entities by more sophisticated means? It must be possible to determine that, in this case, the person involved was not clustered -not 'close enough'- to the universe of entities related to white supremacists. Relying just on words/names will lead to this kinds of results, specially where ambiguity is involved (the person's name is unfortunately very common).