Makes sense. It's not like Google or any other company training AI models are hiring professional linguists or psychologists to investigate the true meaning behind each of the billions of internet posts they've scraped, labeled and trained their models on. They're throwing pennies at workers in the developing world to label as much data as they can as fast as they can.

It's also likely that there's a significant lack of context to the data points, not just because the posts are divorced from their parent content, but because of a culture and language divide between the labeler and the author of the data they're labeling, as well.