Earlier quoted context omitted.
That response to complaining about Instagram is becoming a frustrating meme because it isn’t true that Instagram doesn’t offer sex appeal to the uninitiated, and rather than discussing that issue, this simple response just shuts down criticism of the social network by embarrassing the person who brings the issue up. Lest you turn the meme on me, I’ll say don’t have an account.
I don’t think this response is dismissive: it’s a technical explanation of what is happening. Understanding it helps us find a solution. Netflix (of Facebook) rates content along embeddings, and highlights content along embeddings that users engage with. If a given user engages with clips featuring people in bikini, that system won’t pass the judgement (one that the author is passing, a judgement you dearly regret, ‘…
I haven’t worked at FB but don’t metadata-adding contractors training ML models serve the function of invisible, more complete likes? My understanding is all these large social networks employ or employed human-created content analysis. And then the right amount of noise and divergent suggestions can be added to serve the goals of the network.