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
摘要
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.
问问这篇 Paper
智能体会读完全文。
Lune 把这篇 Paper 索引到了每一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。
它引用的顶会 Paper24
- Language Models are Few-Shot LearnersTom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah 等NeurIPS 2020 · 被引用 64,255 次
- LLM-Adapters: An Adapter Family for Parameter-Efficient Fine-Tuning of Large Language ModelsZhiqiang Hu, Lei Wang, Yihuai Lan, Wanyu Xu 等EMNLP 2023 · 被引用 200 次
- Graphologue: Exploring Large Language Model Responses with Interactive DiagramsPeiling Jiang, Jude Rayan, Steven P. Dow, Haijun XiaUIST 2023 · 被引用 135 次
- Adapting User Interfaces with Model-based Reinforcement LearningKashyap Todi, Gilles Bailly, Luis A. Leiva, Antti OulasvirtaCHI 2021 · 被引用 93 次
- Exploring the Effects of Technological Writing Assistance for Support Providers in Online Mental Health CommunityZhenhui Peng, Qingyu Guo, Ka Wing Tsang, Xiaojuan MaCHI 2020 · 被引用 80 次
相关 Paper
- Engagement or Knowledge Retention: Exploring Trade-offs in Promoting Discussion at News WebsitesBrian James McInnis, Leah Ajmani, Steven P. DowCSCW 2022 · 被引用 2 次
- Guided Reflection in AI-Assisted Decision-Making: Effects on AI Overreliance and Decision AccuracyShanshan Li, Jingwei Li, Huiran Li, Hongwei Zhu 等CHI 2026 · 被引用 1 次
- NudgeCred: Supporting News Credibility Assessment on Social Media Through NudgesMd Momen Bhuiyan, Michael A. Horning, Sang Won Lee, Tanushree MitraCSCW 2021 · 被引用 72 次
- Persua: A Visual Interactive System to Enhance the Persuasiveness of Arguments in Online DiscussionMeng Xia, Qian Zhu, Xingbo Wang, Fei Nie 等CSCW 2022 · 被引用 34 次
- Nudge for Deliberativeness: How Interface Features Influence Online DiscourseSanju Menon, Weiyu Zhang, Simon T. PerraultCHI 2020 · 被引用 29 次
