Algorithmic Political Bias Can Reduce Political Polarization

Abstract Does algorithmic political bias contribute to an entrenchment and polarization of positions? Franke ( Philosophy Technology , 35, 7, 2022) argues that it may do so because the involves classifications people as liberals, conservatives, etc., individuals often conform ways in which they are classified. I provide a novel example this phenomenon human–computer interactions introduce social psychological mechanism (what shall call ‘implied labeling’) has been overlooked context but should be experimentally explored. Furthermore, while proposes entrench identities, contend produce opposite result. They can lead change disconfirm (thus causing ‘looping effects’). Consequently counterintuitively, fact decrease polarization.