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 / Report / Conference proceedingConference contributionAcademicpeer-review

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 publicationJoint Proceedings SAD 2018 and CrowdBias 2018
Subtitle 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 (SAD 2018 and CrowdBias 2018) co-located the 6th AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2018). Zürich, Switzerland, July 5, 2018
EditorsLora Aroyo, Anca Dumitrache
PublisherCEUR-WS
Pages32-40
Number of pages9
Publication statusPublished - 2018
Event1st Workshop on Subjectivity, Ambiguity and Disagreement in Crowdsourcing, and Short Paper 1st Workshop on Disentangling the Relation Between Crowdsourcing and Bias Management, SAD+CrowdBias 2018 - Zurich, Switzerland
Duration: 5 Jul 2018 → …

Publication series

NameCEUR Workshop Proceedings
PublisherCEUR Workshop Proceedings
Volume2276
ISSN (Print)1613-0073

Conference

Conference1st Workshop on Subjectivity, Ambiguity and Disagreement in Crowdsourcing, and Short Paper 1st Workshop on Disentangling the Relation Between Crowdsourcing and Bias Management, SAD+CrowdBias 2018
Country/TerritorySwitzerland
CityZurich
Period5/07/18 → …

Funding

This research is supported by the Capture Bias project 12, part of the VWData Research Programme funded by the Startimpuls programme of the Dutch National Research Agenda, route ”Value Creation through Responsible Access to and use of Big Data” (NWO 400.17.605/4174).

FundersFunder number
Dutch National Research Agenda
Nederlandse Organisatie voor Wetenschappelijk Onderzoek400.17.605/4174

    Keywords

    • Ambiguity-aware bias representation
    • Bias detection
    • Bias in news video files
    • Crowdsourcing
    • Disagreement
    • Human in the loop
    • Machine learning

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