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by soerxpso 1022 days ago
I wonder how reducing factions to a single axis impacts notes on tweets about matters that the two "teams" haven't really picked their sides on yet. During the first weeks of covid, it seemed like "this is a nothingburger" and "this is a huge deal" weren't statements that had a left/right connotation yet, but were statements that people passionately disagreed about. How does the algorithm behave when a note is highly controversial, but that controversy doesn't seem to be correlated with users' single-axis leanings?

Anarcho-capitalists and radical leftists strongly disagree on the vast majority of things, but both groups passionately support defunding the police (for very different reasons). Would the algorithm unfairly see a false note as having "bipartisan support" when these two opposite-radical groups manage to have their biases line up?