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I think the implication is either that 1) The people running the filter are saying that in bad faith, they have actually trained it to catch "Bad Ideas" instea

I think the implication is either that 1) The people running the filter are saying that in bad faith, they have actually trained it to catch "Bad Ideas" instead of autogenerated text 2) Training a GAN to mimic your political opponents and spamming sites so the bad political opinions themselves become heuristics of spam

evgen 8y ago
In the referenced paper the trigger for the filter is lack of novelty, not any specific content. In neither of the cases you present would you be able to demonstrate that a filter like this could be operated in way to discriminate on content rather than on novelty other than by shifting the corpus in a manner that would be obvious to everyone.