169 citations · 473 across the 11 of their papers we have counts for
11 papers
Subscriptions and external links help drive resentful users to alternative and extremist YouTube videos
Annie Y. Chen, Brendan Nyhan, Jason Reifler +2
Do online platforms facilitate the consumption of potentially harmful content? Using paired behavioral and survey data provided by participants recruited from a representative samp…
Engagement Outweighs Exposure to Partisan and Unreliable News within Google Search
Ronald E. Robertson, Jon Green, Damian J. Ruck +3
If popular online platforms systematically expose their users to partisan and unreliable news, they could potentially contribute to societal issues like rising political polarizati…
When Fair Ranking Meets Uncertain Inference
Avijit Ghosh, Ritam Dutt, Christo Wilson
Existing fair ranking systems, especially those designed to be demographically fair, assume that accurate demographic information about individuals is available to the ranking algo…
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…
Tracing Information Flows Between Ad Exchanges Using Retargeted Ads
Muhammad Ahmad Bashir, Sajjad Arshad, William Robertson +1
Numerous surveys have shown that Web users are concerned about the loss of privacy associated with online tracking. Alarmingly, these surveys also reveal that people are also unawa…
Thou Shalt Not Depend on Me: Analysing the Use of Outdated JavaScript Libraries on the Web
Tobias Lauinger, Abdelberi Chaabane, Sajjad Arshad +3
Web developers routinely rely on third-party Java-Script libraries such as jQuery to enhance the functionality of their sites. However, if not properly maintained, such dependencie…
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…
Multi-scale Dynamics in a Massive Online Social Network
Xiaohan Zhao, Alessandra Sala, Christo Wilson +4
Data confidentiality policies at major social network providers have severely limited researchers' access to large-scale datasets. The biggest impact has been on the study of netwo…
Social Turing Tests: Crowdsourcing Sybil Detection
Gang Wang, Manish Mohanlal, Christo Wilson +4
As popular tools for spreading spam and malware, Sybils (or fake accounts) pose a serious threat to online communities such as Online Social Networks (OSNs). Today, sophisticated a…
Serf and Turf: Crowdturfing for Fun and Profit
Gang Wang, Christo Wilson, Xiaohan Zhao +4
Popular Internet services in recent years have shown that remarkable things can be achieved by harnessing the power of the masses using crowd-sourcing systems. However, crowd-sourc…
Uncovering Social Network Sybils in the Wild
Zhi Yang, Christo Wilson, Xiao Wang +3
Sybil accounts are fake identities created to unfairly increase the power or resources of a single malicious user. Researchers have long known about the existence of Sybil accounts…