This paper describes and evaluates privacy-friendly methods for extracting quasi-social networks from browser behavior on user-generated content sites, for the purpose of finding good audiences for brand advertising (as opposed to click maximizing, for example). Targeting social-network...

Mobile in-app advertising is now the dominant form of digital advertising. While these ads have excellent user-tracking properties, they have raised concerns among privacy advocates. This has resulted in an ongoing debate on the value of different types of targeting information, the incentives...

Targeting breadth is defined as the number of consumer interests that an ad network uses to form the set of potential advertisers who compete for an ad impression to a consumer in the context of display advertising. Despite its relevance and importance to display ad platforms, the impact and...

This paper studies how restricting data exchange between firms affects market competition in the app economy. The identification exploits iOS's privacy policy update, which limits apps from tracking users across other apps using identifiers. We find that the iOS update reduces startup app...