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New working paper with Julian Schuessler on Graphical Causal Models for Survey Inference

New working paper with Julian Schuessler on Graphical Causal Models for Survey Inference out on SocArXiv!

We demonstrate the usefulness of graphical causal models to communicate theoretical assumptions about the collection of survey data, to determine whether typical population parameters of interest to survey researchers can be recovered from a survey sample, and to support the choice of suitable adjustment strategies. Starting from graphical representations of prototypical selection...

New Article in International Journal on Digital Libraries

The article "Automated Identification of Media Bias in News Articles: An Interdisciplinary Literature Review" co-authored by Felix Hamborg, Karsten Donnay and Bela Gipp reviews the state-of-the-art in the automated study of bias in news media articles bringing together the latest insights from research in both social and computer science.

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