This study investigates the spatiotemporal evolution of development discourse in low-resource settings. Analyzing more than two years of geotagged X data from Zambia, we introduce a mixed-methods pipeline utilizing topic modeling, change-point detection, and qualitative coding to identify critical shifts in public debate. We identify seven recurring themes, including public health challenges and frustration with government policy, shaped by regional events and national interventions. Notably, we detect discourse changepoints linked to the COVID19 pandemic and a geothermal project, illustrating how online conversations mirror policy flashpoints. Our analysis distinguishes between the ephemeral nature of acute crises like COVID19 and the persistent, structural reorientations driven by long-term infrastructure projects. We conceptualize "durable discourse" as sustained narrative engagement with development issues. Contributing to HCI and ICTD, we examine technology's socioeconomic impact, providing practical implications and future work for direct local engagement.

翻译：本研究探讨了低资源环境中发展话语的时空演变。通过分析赞比亚超过两年的地理标记X数据，我们引入了一种混合方法流程，利用主题建模、变化点检测和定性编码来识别公共辩论中的关键转变。我们识别出七个反复出现的主题，包括公共卫生挑战和对政府政策的失望，这些主题受到区域事件和国家干预的影响。值得注意的是，我们检测到与COVID19大流行和地热项目相关的话语变化点，说明了在线对话如何反映政策焦点。我们的分析区分了如COVID19等急性危机的短暂性与长期基础设施项目驱动的持久性结构重构之间的差异。我们将"持久性话语"概念化为对发展议题的持续叙事参与。本研究为人机交互和信息通信技术与发展领域做出贡献，通过考察技术的社会经济影响，为直接的地方参与提供了实践启示和未来工作方向。