160 citations · 862 across the 27 of their papers we have counts for
12 papers · 1 filter
How Does Counterfactually Augmented Data Impact Models for Social Computing Constructs?
Indira Sen, Mattia Samory, Fabian Floeck +2
As NLP models are increasingly deployed in socially situated settings such as online abusive content detection, it is crucial to ensure that these models are robust. One way of imp…
The FairCeptron: A Framework for Measuring Human Perceptions of Algorithmic Fairness
Georg Ahnert, Ivan Smirnov, Florian Lemmerich +2
Measures of algorithmic fairness often do not account for human perceptions of fairness that can substantially vary between different sociodemographics and stakeholders. The FairCe…
Web Routineness and Limits of Predictability: Investigating Demographic and Behavioral Differences Using Web Tracking Data
Juhi Kulshrestha, Marcos Oliveira, Orkut Karacalik +2
Understanding human activities and movements on the Web is not only important for computational social scientists but can also offer valuable guidance for the design of online syst…
"Call me sexist, but...": Revisiting Sexism Detection Using Psychological Scales and Adversarial Samples
Mattia Samory, Indira Sen, Julian Kohne +2
Research has focused on automated methods to effectively detect sexism online. Although overt sexism seems easy to spot, its subtle forms and manifold expressions are not. In this…
Bias in Data-driven AI Systems -- An Introductory Survey
Eirini Ntoutsi, Pavlos Fafalios, Ujwal Gadiraju +20
AI-based systems are widely employed nowadays to make decisions that have far-reaching impacts on individuals and society. Their decisions might affect everyone, everywhere and any…
TED-On: A Total Error Framework for Digital Traces of Human Behavior on Online Platforms
Indira Sen, Fabian Floeck, Katrin Weller +2
Peoples' activities and opinions recorded as digital traces online, especially on social media and other web-based platforms, offer increasingly informative pictures of the public.…