"uuid","repository link","title","author","contributor","publication year","abstract","subject topic","language","publication type","publisher","isbn","issn","patent","patent status","bibliographic note","access restriction","embargo date","faculty","department","research group","programme","project","coordinates" "uuid:32a35ba0-d3f9-4681-8fee-59134e87466a","http://resolver.tudelft.nl/uuid:32a35ba0-d3f9-4681-8fee-59134e87466a","CaptureBias: Supporting Media Scholars with Ambiguity-Aware Bias Representation for News Videos","de Jong, M. (TU Delft Web Information Systems); Mavridis, P. (Vrije Universiteit Amsterdam); Aroyo, Lora (Universiteit Leiden); Bozzon, A. (TU Delft Web Information Systems); Vos, Jesse de (Nederlands Instituut voor Beeld en Geluid); Oomen, Johan (Nederlands Instituut voor Beeld en Geluid); Dimitrova, Antoaneta (Universiteit Leiden); Badenoch, Alec (Universiteit Utrecht)","Aroyo, Lora (editor); Dumitrache, Anca (editor); Paritosh, Praveen (editor); Quinn, Alex (editor); Welty, Chris (editor); Checco, Alessandro (editor); Demartini, Gianluca (editor); Gadiraju, Ujwal (editor); Sarasua, Cristina (editor)","2018","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.","Bias detection; bias in news video files; ambiguity-aware bias representation; disagreement; machine learning; crowdsourcing; human in the loop","en","conference paper","CEUR-WS","","","","","Accepted Author Manuscript","","","","","Web Information Systems","","",""