User-Centric Behavioral Tracking: Lessons from Three Case Studies with Do-It-Yourself Computational Pipelines
本文介绍以用户为中心的行为追踪技术，通过三个DIY案例分享研究人员自行开发追踪应用、搭建平台、管理参与者和计算管道的经验，对广告研究学者有参考价值。
User-centric behavioral tracking, a cutting-edge computational social science tool, holds tremendous promise for advertising research. The article introduces the technique and presents three do-it-yourself (DIY) case studies in which researchers develop tracking applications and platforms, build infrastructures that host participants, maintain computational pipelines logging user behavior and content exposure, and manage logistical “ins and outs” such as onboarding, offboarding, and compensations all by themselves. We share our lessons, discuss challenges ahead for DIY user-centric behavioral tracking, and advocate for computational advertising scholars to become pioneers in this emerging body of work.