160 citations · 862 across the 27 of their papers we have counts for
28 papers
You are a Bot! -- Studying the Development of Bot Accusations on Twitter
Dennis Assenmacher, Leon Fröhling, Claudia Wagner
The characterization and detection of bots with their presumed ability to manipulate society on social media platforms have been subject to many research endeavors over the last de…
Link recommendations: Their impact on network structure and minorities
Antonio Ferrara, Lisette Espín-Noboa, Fariba Karimi +1
Network-based people recommendation algorithms are widely employed on the Web to suggest new connections in social media or professional platforms. While such recommendations bring…
Counterfactually Augmented Data and Unintended Bias: The Case of Sexism and Hate Speech Detection
Indira Sen, Mattia Samory, Claudia Wagner +1
Counterfactually Augmented Data (CAD) aims to improve out-of-domain generalizability, an indicator of model robustness. The improvement is credited with promoting core features of…
Inequality and Inequity in Network-based Ranking and Recommendation Algorithms
Lisette Espín-Noboa, Claudia Wagner, Markus Strohmaier +1
Though algorithms promise many benefits including efficiency, objectivity and accuracy, they may also introduce or amplify biases. Here we study two well-known algorithms, namely P…
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…