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

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

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Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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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.

Original language	English
Title of host publication	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
Editors	Lora Aroyo, Anca Dumitrache, Praveen Paritosh, Alex Quinn, Chris Welty, Alessandro Checco, Gianluca Demartini, Ujwal Gadiraju, Cristina Sarasua
Publisher	CEUR-WS
Pages	32-40
Number of pages	9
Volume	2276
Publication status	Published - 2018
Event	1st 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 2018 → 5 Jul 2018 https://sites.google.com/view/crowdbias

Publication series

Name	CEUR Workshop Proceedings
Volume	2276
ISSN (Electronic)	1613-0073

Conference

Conference	1st Workshop on Subjectivity, Ambiguity and Disagreement in Crowdsourcing, and 1st Workshop on Disentangling the Relation Between Crowdsourcing and Bias Management
Abbreviated title	SAD2018 CrowdBias2018
Country/Territory	Switzerland
City	Zurich
Period	5/07/18 → 5/07/18
Internet address	https://sites.google.com/view/crowdbias

Bibliographical note

Accepted Author Manuscript

Keywords

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

Access to Document

CaptureBias: Supporting Media Scholars with Ambiguity-Aware Bias Representation for News VideosAccepted author manuscript, 329 KB

http://ceur-ws.org/Vol-2276/paper4.pdf

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). Article 4 (CEUR Workshop Proceedings; Vol. 2276). CEUR-WS. http://ceur-ws.org/Vol-2276/paper4.pdf

Jong, Markus de ; Mavridis, Panagiotis ; Aroyo, Lora et al. / CaptureBias : Supporting Media Scholars with Ambiguity-Aware Bias Representation for News Videos. 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. editor / Lora Aroyo ; Anca Dumitrache ; Praveen Paritosh ; Alex Quinn ; Chris Welty ; Alessandro Checco ; Gianluca Demartini ; Ujwal Gadiraju ; Cristina Sarasua. Vol. 2276 CEUR-WS, 2018. pp. 32-40 (CEUR Workshop Proceedings).

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title = "CaptureBias: Supporting Media Scholars with Ambiguity-Aware Bias Representation for News Videos",

abstract = "In this project we explore the presence of ambiguity in textual and visual media and its influence on accurately understanding andcapturing bias in news. We study this topic in the context of supportingmedia scholars and social scientists in their media analysis. Our focuslies on racial and gender bias as well as framing and the comparisonof their manifestation across modalities, cultures and languages. In thispaper we lay out a human in the loop approach to investigate the role ofambiguity in detection and interpretation of bias.",

keywords = "Bias detection, bias in news video files, ambiguity-aware bias representation, disagreement, machine learning, crowdsourcing, human in the loop",

author = "Jong, {Markus de} and Panagiotis Mavridis and Lora Aroyo and Alessandro Bozzon and Vos, {Jesse de} and Johan Oomen and Antoaneta Dimitrova and Alec Badenoch",

note = "Accepted Author Manuscript; 1st Workshop on Subjectivity, Ambiguity and Disagreement in Crowdsourcing, and 1st Workshop on Disentangling the Relation Between Crowdsourcing and Bias Management, SAD2018 CrowdBias2018 ; Conference date: 05-07-2018 Through 05-07-2018",

year = "2018",

language = "English",

volume = "2276",

series = "CEUR Workshop Proceedings",

publisher = "CEUR-WS",

pages = "32--40",

editor = "Lora Aroyo and Anca Dumitrache and Praveen Paritosh and Alex Quinn and Chris Welty and Alessandro Checco and Gianluca Demartini and Ujwal Gadiraju and Cristina Sarasua",

booktitle = "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",

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Jong, MD, Mavridis, P, Aroyo, L, Bozzon, A, Vos, JD, 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, 4, CEUR Workshop Proceedings, vol. 2276, CEUR-WS, pp. 32-40, 1st Workshop on Subjectivity, Ambiguity and Disagreement in Crowdsourcing, and 1st Workshop on Disentangling the Relation Between Crowdsourcing and Bias Management, Zurich, Switzerland, 5/07/18. <http://ceur-ws.org/Vol-2276/paper4.pdf>

CaptureBias: Supporting Media Scholars with Ambiguity-Aware Bias Representation for News Videos. / Jong, Markus de; Mavridis, Panagiotis; Aroyo, Lora et al.
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. ed. / Lora Aroyo; Anca Dumitrache; Praveen Paritosh; Alex Quinn; Chris Welty; Alessandro Checco; Gianluca Demartini; Ujwal Gadiraju; Cristina Sarasua. Vol. 2276 CEUR-WS, 2018. p. 32-40 4 (CEUR Workshop Proceedings; Vol. 2276).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

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AU - Mavridis, Panagiotis

AU - Aroyo, Lora

AU - Bozzon, Alessandro

AU - Vos, Jesse de

AU - Oomen, Johan

AU - Dimitrova, Antoaneta

AU - Badenoch, Alec

N1 - Accepted Author Manuscript

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N2 - In this project we explore the presence of ambiguity in textual and visual media and its influence on accurately understanding andcapturing bias in news. We study this topic in the context of supportingmedia scholars and social scientists in their media analysis. Our focuslies on racial and gender bias as well as framing and the comparisonof their manifestation across modalities, cultures and languages. In thispaper we lay out a human in the loop approach to investigate the role ofambiguity in detection and interpretation of bias.

AB - In this project we explore the presence of ambiguity in textual and visual media and its influence on accurately understanding andcapturing bias in news. We study this topic in the context of supportingmedia scholars and social scientists in their media analysis. Our focuslies on racial and gender bias as well as framing and the comparisonof their manifestation across modalities, cultures and languages. In thispaper we lay out a human in the loop approach to investigate the role ofambiguity in detection and interpretation of bias.

KW - Bias detection

KW - bias in news video files

KW - ambiguity-aware bias representation

KW - disagreement

KW - machine learning

KW - crowdsourcing

KW - human in the loop

M3 - Conference contribution

VL - 2276

T3 - CEUR Workshop Proceedings

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EP - 40

BT - 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

A2 - Aroyo, Lora

A2 - Dumitrache, Anca

A2 - Paritosh, Praveen

A2 - Quinn, Alex

A2 - Welty, Chris

A2 - Checco, Alessandro

A2 - Demartini, Gianluca

A2 - Gadiraju, Ujwal

A2 - Sarasua, Cristina

PB - CEUR-WS

Y2 - 5 July 2018 through 5 July 2018

ER -

Jong MD, Mavridis P, Aroyo L, Bozzon A, Vos JD, Oomen J et al. CaptureBias: Supporting Media Scholars with Ambiguity-Aware Bias Representation for News Videos. In Aroyo L, Dumitrache A, Paritosh P, Quinn A, Welty C, Checco A, Demartini G, Gadiraju U, Sarasua C, editors, 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. CEUR-WS. 2018. p. 32-40. 4. (CEUR Workshop Proceedings).

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

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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