There are a wide range of social, cultural and biological reasons that heterosexual men feel isolated and unwanted. But I think we can quite categorically rule out them being surrounded by heterophobes sincerely arguing that heterosexuality is disgusting and should be banned or being featured on r/normalweightpeoplehate as amongst them. (They might get called fat and gay a lot though...)
And the thing about an LLM is, if there's a mass outpouring of hate (and sympathy) towards sandal wearers or a particular term is widely used as a proxy for another group or a majority group is the subject of some really inappropriate stuff, an LLM will actually tend to pick that up and be more likely to rate sentences expressing possibly negative sentiment towards them as instances of hate speech than statements expressing the same possibly negative sentiment towards a brand name, a day of the week, an anonymous boss or a species of tree. It won't do it perfectly (however you define "perfectly"), but it looks a lot better than some of the proposed alternatives...
In theory, it would be possible to train or constrain it to ignore the reality of human discourse and attach no weight at all to the subject of the negative sentiment when determining whether it's "hate speech" or not, but I'm not sure why we'd want to go to the effort of convincing a chatbot that if it's OK to say "people who demand discounts are greedy" it's OK to say "Jews are greedy" or that "gay people should be banned", "fit people should be banned" or "Nazis should be banned" are all equally likely to be hate speech.
Hate has many forms and styles. Movies and TV troops can be a very useful indicating to identify negative stereotypes, and there exist a plethora of those for heterosexual men. Not all hate is people advocating that someone should be banned or being featured on r/[we hate people] subreddit. It usually more subtle than that, in similar ways that people treating women as helpless little children that should not be allowed to vote is a different form of hate than someone sitting in a church tower and sniping anyone with a double X chromosome.
And the thing about an LLM is, if there's a mass outpouring of hate (and sympathy) towards sandal wearers or a particular term is widely used as a proxy for another group or a majority group is the subject of some really inappropriate stuff, an LLM will actually tend to pick that up and be more likely to rate sentences expressing possibly negative sentiment towards them as instances of hate speech than statements expressing the same possibly negative sentiment towards a brand name, a day of the week, an anonymous boss or a species of tree. It won't do it perfectly (however you define "perfectly"), but it looks a lot better than some of the proposed alternatives...
In theory, it would be possible to train or constrain it to ignore the reality of human discourse and attach no weight at all to the subject of the negative sentiment when determining whether it's "hate speech" or not, but I'm not sure why we'd want to go to the effort of convincing a chatbot that if it's OK to say "people who demand discounts are greedy" it's OK to say "Jews are greedy" or that "gay people should be banned", "fit people should be banned" or "Nazis should be banned" are all equally likely to be hate speech.