The Logic of Formation, Aberrant Representation, and Adjustment Mechanisms of Online Public Expression in the Algorithmic Era

In the context of digital technologies deeply embedded within the public discourse space, platform algorithms have fundamentally reshaped the generative logic of online expression through processes of filtering, ranking, and prediction. Drawing on a systematic review of both domestic and international scholarship, this study explores the influence of algorithms on the ecology of public discourse across four interrelated dimensions: (1) the evolution of algorithmic awareness and the resulting differentiation of user behaviors; (2) feedback loops generated by heterogeneous data flows; (3) the alienated representation of public opinion mediated by algorithmic systems; and (4) the mechanisms through which algorithmic mediation is adjusted. The study argues that algorithms-via recursive reinforcement, opaque "black-box" operations, and data-driven governance-have profoundly reconfigured communicative dynamics and symbolic power in the digital public sphere. In response, three strategic interventions are proposed: cultivating algorithmic critical literacy to reconstruct user subjectivity; correcting the distributional asymmetry of discursive power through a structural justice lens; and establishing open, deliberative institutional spaces to mitigate the potential negative externalities of algorithmic mediation.