431 citations · 1.1k across the 13 of their papers we have counts for
8 papers · 1 filter
When 'For You' Isn't For You: Measuring User Agency in TikTok's Algorithmic Feed
Levi Kaplan, Devin Patel, Nicole Gerzon +2
The short-form video-sharing service TikTok has become an important platform in the social media landscape, with much of its popularity owed to its algorithmically-driven "For You…
On the Use of Proxies in Political Ad Targeting
Piotr Sapiezynski, Levi Kaplan, Alan Mislove +1
Detailed targeting of advertisements has long been one of the core offerings of online platforms. Unfortunately, malicious advertisers have frequently abused such targeting feature…
Problematic Advertising and its Disparate Exposure on Facebook
Muhammad Ali, Angelica Goetzen, Alan Mislove +2
Targeted advertising remains an important part of the free web browsing experience, where advertisers' targeting and personalization algorithms together find the most relevant audi…
Ad Delivery Algorithms: The Hidden Arbiters of Political Messaging
Muhammad Ali, Piotr Sapiezynski, Aleksandra Korolova +2
Political campaigns are increasingly turning to digital advertising to reach voters. These platforms empower advertisers to target messages to platform users with great precision,…
Algorithms that "Don't See Color": Comparing Biases in Lookalike and Special Ad Audiences
Piotr Sapiezynski, Avijit Ghosh, Levi Kaplan +2
Researchers and journalists have repeatedly shown that algorithms commonly used in domains such as credit, employment, healthcare, or criminal justice can have discriminatory effec…
Discrimination through optimization: How Facebook's ad delivery can lead to skewed outcomes
Muhammad Ali, Piotr Sapiezynski, Miranda Bogen +3
The enormous financial success of online advertising platforms is partially due to the precise targeting features they offer. Although researchers and journalists have found many w…
Quantifying the Impact of User Attention on Fair Group Representation in Ranked Lists
Piotr Sapiezynski, Wesley Zeng, Ronald E. Robertson +2
In this work, we introduce a novel metric for auditing group fairness in ranked lists. Our approach offers two benefits compared to the state of the art. First, we offer a blueprin…
Measuring Personalization of Web Search
Anikó Hannák, Piotr Sapieżyński, Arash Molavi Khaki +3
Web search is an integral part of our daily lives. Recently, there has been a trend of personalization in Web search, where different users receive different results for the same s…