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arXiv · 2601.19347

CommSense: Facilitating Bias-Aware and Reflective Navigation of Online Comments for Rational Judgment

Yang Ouyang·Shenghan Gao·Ruichuan Wang·Hailiang Zhu·Yuheng Shao·Xiaoyu Gu·Quan Li
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Abstract

Online comments significantly influence users' judgments, yet their presentation, often determined by platform algorithms, can introduce biases, such as anchoring effects, which distort reasoning. While existing research emphasizes mitigating individual cognitive biases, the evolution of user judgments during comment engagement remains overlooked. This study investigates how presentation cues impact reasoning and explores interface design strategies to mitigate bias. Through a preliminary experiment (N=18) and a co-design workshop, we identified key challenges users face across a four-stage process and distilled four design requirements: pre-engagement framing, interactive organization, reflective prompts, and synthesis support. Based on these insights, we developed CommSense, an on-the-fly plugin that enhances user engagement with online comments by providing visual overviews and lightweight prompts to guide reasoning. A between-subject evaluation (N=24) demonstrates that CommSense improves bias awareness and reflective thinking, helping users produce more comprehensive, evidence-based rationales while maintaining high usability.

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Yang Ouyang, Shenghan Gao, Ruichuan Wang, Hailiang Zhu, Yuheng Shao, Xiaoyu Gu, Quan Li. 2026-01-27. CommSense: Facilitating Bias-Aware and Reflective Navigation of Online Comments for Rational Judgment. https://arxiv.org/abs/2601.19347

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