Abstract
As radicalization intensifies, people increasingly encounter multi-perspective conversations through recordings, transcripts, and online forums, yet these formats offer no structural support for synthesis, requiring users to mentally reconstruct thematic patterns while often stripping away the human voices that enable empathy. We present Anthology, a prototype exploring how AI-augmented semantic organization transforms recorded conversations into interactive, semantically-clustered visualizations that invite users to hear unfamiliar perspectives in speakers’ own voices. Through a between-subjects experiment (N=60), we demonstrate that Anthology significantly reduces position extremity (p=.022, d=0.60), defined as how far someone’s stance on an issue is from the middle, compared to traditional transcripts. We discuss implications for designing conversation interface that foster critical engagement with diverse viewpoints in contexts such as online discussion space, citizens’ assemblies, and deliberative forums.