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#human-computer interaction Preprint Open access

CrossWeave: Bridging Perspectives Across Online Communities with a Dual-Pane Design

Fei Fang Reva Hirave William Jurayj Yuqi Li Brian Lu Tarik Metin Tsugunobu Miyake Kateryna Morhun Yash Permalla Kenan Rustamov Allen Shen Haojun Shi Prabhav Singh Xiheng Tom Wang Kevin Xu Qingcheng Zeng Jiayi Zhang Daniel Khashabi Andrew Perrin Tiziano Piccardi Ziang Xiao Jason Eisner
Oct 2026
Human-computer Interaction

Abstract

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.

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