CaptureBias
Supporting Media Scholars with Ambiguity-Aware Bias Representation for News Videos
M. Jong (TU Delft - Web Information Systems)
P. Mavridis (Vrije Universiteit Amsterdam)
Lora Aroyo (Universiteit Leiden)
A Bozzon (TU Delft - Web Information Systems)
Jesse de Vos (Nederlands Instituut voor Beeld en Geluid)
Johan Oomen (Nederlands Instituut voor Beeld en Geluid)
Antoaneta Dimitrova (Universiteit Leiden)
Alec Badenoch (Universiteit Utrecht)
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Abstract
In this project we explore the presence of ambiguity in textual and visual media and its influence on accurately understanding and
capturing bias in news. We study this topic in the context of supporting
media scholars and social scientists in their media analysis. Our focus
lies on racial and gender bias as well as framing and the comparison
of their manifestation across modalities, cultures and languages. In this
paper we lay out a human in the loop approach to investigate the role of
ambiguity in detection and interpretation of bias.