I would be intrigued by using an LLM to detect content like this and hold it for moderation. The elevator pitch would be training an LLM to be the moderator because that's what people want to hear, but it's most likely going to end up a moderator's assistant.
I think the curation of all media content using your own LLM that has been tuned using your own custom criteria _must_ become the future of media.
We've long done this personally at the level of a TV news network, magazine, newspaper, or website -- choosing info sources that were curated and shaped by gatekeeper editors. But with the demise of curated news, it's becoming necessary for each of us to somehow filter the myriad individual info sources ourselves. Ideally this will be done using a method smart enough to take our instructions and route only approved content to us, while explaining what was approved/denied and being capable of being corrected and updated. Ergo, the LLM-based custom configured personal news gateway is born.
Of course the criteria driving your 'smart' info filter could be much more clever than allowing all content from specific writers. It could review each piece for myriad strengths/weaknesses (originality, creativity, novel info, surprise factor, counter intuitiveness, trustworthiness, how well referenced, etc) so that this LLM News Curator could reliably deliver a mix of INTERESTING content rather than the repetitively predictable pablum that editor-curated media prefers to serve up.