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And this is probably going to get even worse the more automatic classification is used to promote or silence content. A pretty interesting result of this is wh
by carpenecopinum 4y ago
And this is probably going to get even worse the more automatic classification is used to promote or silence content.
A pretty interesting result of this is what I'd call "TikTok speak", where words are replaced, either by similar sounding ones ("porn" => "corn", often times just the corn emoji) or by neologisms ("to kill" => "to unalive"), in the hope of getting around the filters.
This turns natural language on the internet into even more of a moving target than it already used to be.
- TremendousJudge 4y agoThe core of the problem is unsolvable, since any automated system can be defeated by a sufficiently motivated human.
- wongarsu 4y agoThe most interesting thing is imo that people often say one thing, but put a similar-sounding word or a homophone in the subtitles, and the filter seems to trust the user-supplied subtitles. I hope nobody trains speach-to-text systems on a tiktok dataset.