To partly address people's concerns over web tracking, Google has created the
Ad Settings webpage to provide information about and some choice over the
profiles Google creates on users. We present AdFisher, an automated tool that
explores how user behaviors, Google's ads, and Ad Settings interact. AdFisher
can run browser-based experiments and analyze data using machine learning and
significance tests. Our tool uses a rigorous experimental design and
statistical analysis to ensure the statistical soundness of our results. We use
AdFisher to find that the Ad Settings was opaque about some features of a
user's profile, that it does provide some choice on ads, and that these choices
can lead to seemingly discriminatory ads. In particular, we found that visiting
webpages associated with substance abuse changed the ads shown but not the
settings page. We also found that setting the gender to female resulted in
getting fewer instances of an ad related to high paying jobs than setting it to
male. We cannot determine who caused these findings due to our limited
visibility into the ad ecosystem, which includes Google, advertisers, websites,
and users. Nevertheless, these results can form the starting point for deeper
investigations by either the companies themselves or by regulatory bodies.

本文使用机器学习和显著性检验分析用户行为、谷歌广告和广告设置之间的交互，并提出了一种解决用户对网络跟踪的担忧的自动化工具 AdFisher。我们使用 AdFisher 发现广告设置对用户个人资料的某些特征不透明，并可能导致看似有歧视的广告。