102 citations · 323 across the 41 of their papers we have counts for
10 papers · 1 filter
Quotatives Indicate Decline in Objectivity in U.S. Political News
Tiancheng Hu, Manoel Horta Ribeiro, Robert West +1
According to journalistic standards, direct quotes should be attributed to sources with objective quotatives such as "said" and "told", as nonobjective quotatives, like "argued" an…
DiPPS: Differentially Private Propensity Scores for Bias Correction
Liangwei Chen, Valentin Hartmann, Robert West
In surveys, it is typically up to the individuals to decide if they want to participate or not, which leads to participation bias: the individuals willing to share their data might…
On the Choice of Databases in Differential Privacy Composition
Valentin Hartmann, Vincent Bindschaedler, Robert West
Differential privacy (DP) is a widely applied paradigm for releasing data while maintaining user privacy. Its success is to a large part due to its composition property that guaran…
Biased Bytes: On the Validity of Estimating Food Consumption from Digital Traces
Kristina Gligorić, Irena Đorđević, Robert West
Given that measuring food consumption at a population scale is a challenging task, researchers have begun to explore digital traces (e.g., from social media or from food-tracking a…
Anticipated versus Actual Effects of Platform Design Change: A Case Study of Twitter's Character Limit
Kristina Gligorić, Justyna Częstochowska, Ashton Anderson +1
The design of online platforms is both critically important and challenging, as any changes may lead to unintended consequences, and it can be hard to predict how users will react.…
Privacy accounting conomics: Improving differential privacy composition via a posteriori bounds
Valentin Hartmann, Vincent Bindschaedler, Alexander Bentkamp +1
Differential privacy (DP) is a widely used notion for reasoning about privacy when publishing aggregate data. In this paper, we observe that certain DP mechanisms are amenable to a…