计算机科学
危害
代表(政治)
数据科学
人机交互
数字内容
钥匙(锁)
万维网
利基
动力学(音乐)
建筑
抽象
分布式计算
洗牌
讨论板
桥(图论)
知识管理
互联网
知识转移
作者
Wesley Wu-Yi Koo,Miaomiao Zhang,Prithwiraj Choudhury
摘要
Abstract Research Summary Digital platforms provide arenas for global knowledge diffusion, but their underlying architecture often relies on synchronous exchange, inadvertently siloing users into distinct “time pockets” based on time zones. Using proprietary data from StackOverflow, we implement a regression discontinuity design to causally estimate that a 1‐h increase (decrease) in the temporal distance between two regions leads to a 13.6% decrease (9.5% increase) in views and a 20.9% decrease (21.0% increase) in votes between those regions. These temporal frictions disproportionately penalize interactions in niche knowledge communities (e.g., sudo, slack‐api) over those in popular ones (e.g., Python, JavaScript). Importantly, we show that a platform can mitigate temporal barriers by shuffling content representation. This paper contributes to our understanding of platform strategy, temporal distance, and global knowledge diffusion. Managerial Summary While digital platforms deliver global connectivity, time zone differences create invisible barriers that stifle user interactions and knowledge exchange. Our research shows that temporal distance between regions on StackOverflow, a global knowledge community for computer programming, significantly reduces cross‐region views and votes. These temporal silos disproportionately harm niche communities, where valuable content is less likely to be shared among users who are not online simultaneously. Popular communities, however, remain largely unaffected. For platform designers, relying solely on chronological feeds inadvertently fragments their global user base. To unlock cross‐border exchange and support specialized communities, managers could adjust algorithms to “shuffle” content representation based on dynamic triggers rather than just the posting time. Doing so bridges temporal gaps and connects out‐of‐sync users.
科研通智能强力驱动
Strongly Powered by AbleSci AI