发表机构
Johns Hopkins University; Princeton University; Georgia Institute of Technology; Massachusetts Institute of Technology; Northwestern University（约翰斯·霍普金斯大学; 普林斯顿大学; 佐治亚理工学院; 麻省理工学院; 西北大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
CrossWeave通过双栏设计在社交媒体信息流中展示跨社区相关帖子，促进用户探索多元观点并建设性互动，以缓解讨论窄化和观点极化。
AI 中文摘要
社交媒体系统通常展示的是已熟悉参与者之间的对话，这些对话可能可预测且片面。在公民话语中，这种设计窄化了讨论，加剧了分歧，并扭曲了对公众舆论的感知。为了鼓励跨社区参与，我们提出了CrossWeave，一个由人工智能驱动的桥梁系统，它增强了标准的社交媒体信息流。当用户阅读一篇帖子时，CrossWeave会在侧栏中展示来自其他讨论线程的相关多样帖子，并突出显示它们之间的联系。用户被邀请走出自己的回音室，探索更广泛的观点和论点，并“点击跨越”以与帖子的作者互动。当用户这样做时，CrossWeave不仅通过展示相关的过往内容，还通过模拟用户起草帖子时可能产生的反应，来促进建设性的发帖。
英文摘要
Social media systems typically display conversations among already familiar contributors, which can be predictable and one-sided. In civic discourse, this design narrows discussion, reinforces divides, and distorts the perception of public opinion. To encourage cross-community engagement, we present CrossWeave, an AI-powered bridging system that augments the standard social media feed. As the user reads a post, CrossWeave surfaces diverse relevant posts from other threads in a side pane and highlights the connections. Users are invited to venture out of their echo chamber, explore a broader range of views and arguments, and ``click across'' to engage with their authors. When they do, CrossWeave facilitates constructive posting, not only by showcasing relevant past content but also by simulating possible reactions as the user drafts a post.
CommentsCSCW 2026 + small improvements
Journal refCompanion of the Computer-Supported Cooperative Work and Social Computing (CSCW Companion 2026)
