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The issue is that FB is not doing a good job - still recommending “Progressive Democrats of Nevada,” “Michigan Republicans”, “Bernie Sanders for President 2020,” “Liberty lovers for Ted Cruz,” “Philly for Elizabeth Warren”. Sure, it's non-trivial, but if these fall through the cracks, then you're not trying hard enough.

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My guess is that there was a mixture of: 1) This not being a priority for FB 2) FB Eng / PM being too clever for its own good and not doing the obvious thing of substring matching ("not scalable"). (Arguably a part of (1) - if it's really important, you'd have the team to maintain a list of banned strings). 3) Just a plain old bug (although arguably this is a subcategory of (1)).

> “Progressive Democrats of Nevada,” “Michigan Republicans”, “Bernie Sanders for President 2020,” “Liberty lovers for Ted Cruz,” “Philly for Elizabeth Warren”

For classifying things like this as political, a typical bayesian 'spam' filter would perform very well.

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