CaptureBias: Supporting Media Scholars with Ambiguity-Aware Bias Representation for News Videos

Markus de Jong, Panagiotis Mavridis, Lora Aroyo, Alessandro Bozzon, Jesse de Vos, Johan Oomen, Antoaneta Dimitrova, Alec Badenoch

Research output: Chapter in Book/Conference proceedings/Edited volumeConference contributionScientificpeer-review

1 Citation (Scopus)
33 Downloads (Pure)

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.
Original languageEnglish
Title of host publicationProceedings of the 1st Workshop on Subjectivity, Ambiguity and Disagreement in Crowdsourcing, and Short Paper Proceedings of the 1st Workshop on Disentangling the Relation Between Crowdsourcing and Bias Management
EditorsLora Aroyo, Anca Dumitrache, Praveen Paritosh, Alex Quinn, Chris Welty, Alessandro Checco, Gianluca Demartini, Ujwal Gadiraju, Cristina Sarasua
PublisherCEUR
Pages32-40
Number of pages9
Volume2276
Publication statusPublished - 2018
Event1st Workshop on Subjectivity, Ambiguity and Disagreement in Crowdsourcing, and 1st Workshop on Disentangling the Relation Between Crowdsourcing and Bias Management - University of Zurich, Zurich, Switzerland
Duration: 5 Jul 20185 Jul 2018
https://sites.google.com/view/crowdbias

Publication series

NameCEUR Workshop Proceedings
Volume2276
ISSN (Electronic)1613-0073

Conference

Conference1st Workshop on Subjectivity, Ambiguity and Disagreement in Crowdsourcing, and 1st Workshop on Disentangling the Relation Between Crowdsourcing and Bias Management
Abbreviated titleSAD2018 CrowdBias2018
CountrySwitzerland
CityZurich
Period5/07/185/07/18
Internet address

Keywords

  • Bias detection
  • bias in news video files
  • ambiguity-aware bias representation
  • disagreement
  • machine learning
  • crowdsourcing
  • human in the loop

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  • Cite this

    Jong, M. D., Mavridis, P., Aroyo, L., Bozzon, A., Vos, J. D., Oomen, J., Dimitrova, A., & Badenoch, A. (2018). CaptureBias: Supporting Media Scholars with Ambiguity-Aware Bias Representation for News Videos. In L. Aroyo, A. Dumitrache, P. Paritosh, A. Quinn, C. Welty, A. Checco, G. Demartini, U. Gadiraju, & C. Sarasua (Eds.), Proceedings of the 1st Workshop on Subjectivity, Ambiguity and Disagreement in Crowdsourcing, and Short Paper Proceedings of the 1st Workshop on Disentangling the Relation Between Crowdsourcing and Bias Management (Vol. 2276, pp. 32-40). [4] (CEUR Workshop Proceedings; Vol. 2276). CEUR. http://ceur-ws.org/Vol-2276/paper4.pdf