AI 中文总结
本文对网络追踪与广告的能源及碳足迹测量方法开展范围综述，经文献筛选后识别出5种方法论路径，为广告技术生态系统的环境核算奠定基础。
AI 中文摘要
随着信息通信技术（ICT）行业碳足迹持续上升，网络追踪与广告的环境影响日益受到关注。然而，针对该问题的学术研究分散于不同学科，术语使用也不一致。本文对网络追踪与广告的能源及碳足迹测量方法相关文献开展范围综述：通过在谷歌学术开展基于标题的结构化检索，初步筛选出46篇文章，最终确定15篇文献构成研究 corpus（语料库）；从中识别出5种不同的方法论路径：广告拦截、受控环境、广告重放、流量分析以及文献推导估算。本综述为当前方法论格局提供了结构化概述，也为广告技术生态系统更全面的环境核算奠定了基础。
英文摘要
The environmental impact of web tracking and advertising is increasingly receiving attention as the ICT sector's carbon footprint keeps rising. Yet the scholarship addressing this question remains scattered across disciplines and inconsistent in its terminology. This paper presents a scoping review of the literature on methods for measuring the energy and carbon footprint of web tracking and advertising. From an initial pool of 46 articles identified through a structured title-based search on Google Scholar, we arrived at a final corpus of 15 papers, from which we identified five distinct methodological approaches: ad blocking, controlled environment, replaying ads, traffic flow analysis, and literature-derived estimation. This review provides a structured overview of the current methodological landscape and a foundation for more comprehensive environmental accounting of the ad tech ecosystem.
Comments5 pages, 0 figures. Accepted at the 2nd International Workshop on Low Carbon Computing (LOCO 2026), Lancaster University, United Kingdom, 10-11 September 2026. Part of the LOCO 2026 proceedings, arXiv:2608.02072
