Social media platforms are increasingly developing features that display crowdsourced context alongside posts, modeled after X's Community Notes. These systems, which we term Crowdsourced Context Systems (CCS), have the potential to reshape our information ecosystem as major platforms embrace them as alternatives to top-down fact-checking. To deeply understand the features and implications of such systems, we perform a systematic literature review of existing CCS research and analyze several real-world CCS implementations. Based on our analysis, we develop a framework with two distinct components. First, we present a theoretical model to help conceptualize and define CCS. Second, we identify a design space encompassing six key aspects of CCS: participation, inputs, curation, presentation, platform treatment, and transparency. We discuss key normative implications of different CCS design and implementation choices. Our paper integrates these theoretical, design, and ethical perspectives to establish a foundation for future human-centered research on Crowdsourced Context Systems.

翻译：社交媒体平台正日益开发类似X平台社区笔记的功能，在帖子旁展示众包上下文。这些系统——我们称之为众包上下文系统（CCS）——随着主流平台将其作为自上而下事实核查的替代方案，有望重塑我们的信息生态系统。为深入理解此类系统的特征与影响，我们对现有CCS研究进行了系统性文献综述，并分析了多个现实世界的CCS实现。基于分析，我们构建了一个包含两个独立组件的框架：首先提出帮助概念化与定义CCS的理论模型；其次识别出涵盖CCS六个关键维度的设计空间：参与机制、输入内容、策展流程、呈现形式、平台处理方式及透明度。我们探讨了不同CCS设计与实施选择的核心规范意义。本文整合理论、设计与伦理视角，为未来开展以人为中心的众包上下文系统研究奠定基础。