A Human in the Loop Approach to Capture Bias and Support Media Scientists in News Video Analysis

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

A Human in the Loop Approach to Capture Bias and Support Media Scientists in News Video Analysis

Panagiotis Mavridis, Markus de Jong, 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

Bias is inevitable and inherent in any form of communication. News often appear biased to citizens with dierent political orientations, and understood dierently by news media scholars and the broader public. In this paper we advocate the need for accurate methods for bias identication in video news item, to enable rich analytics capabilities in order to assist humanities media scholars and social political scientists. We propose to analyze biases that are typical in video news (including
framing, gender and racial biases) by means of a human-in-the-loop approach
that combines text and image analysis with human computation techniques.

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	88-92
Number of pages	5
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
machine learning
crowdsourcing
human computation
human in the loop

Access to Document

A Human in the Loop Approach to Capture Bias and Support Media Scientists in News Video AnalysisAccepted author manuscript, 302 KB

http://ceur-ws.org/Vol-2276/paper11.pdf

Cite this

Mavridis, P., Jong, M. D., Aroyo, L., Bozzon, A., Vos, J. D., Oomen, J., Dimitrova, A., & Badenoch, A. (2018). A Human in the Loop Approach to Capture Bias and Support Media Scientists in News Video Analysis. 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. 88-92). Article 11 (CEUR Workshop Proceedings; Vol. 2276). CEUR-WS. http://ceur-ws.org/Vol-2276/paper11.pdf

Mavridis, Panagiotis ; Jong, Markus de ; Aroyo, Lora et al. / A Human in the Loop Approach to Capture Bias and Support Media Scientists in News Video Analysis. 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. 88-92 (CEUR Workshop Proceedings).

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title = "A Human in the Loop Approach to Capture Bias and Support Media Scientists in News Video Analysis",

abstract = "Bias is inevitable and inherent in any form of communication. News often appear biased to citizens with dierent political orientations, and understood dierently by news media scholars and the broader public. In this paper we advocate the need for accurate methods for bias identication in video news item, to enable rich analytics capabilities in order to assist humanities media scholars and social political scientists. We propose to analyze biases that are typical in video news (includingframing, gender and racial biases) by means of a human-in-the-loop approachthat combines text and image analysis with human computation techniques.",

keywords = "Bias detection, bias in news video files, machine learning, crowdsourcing, human computation, human in the loop",

author = "Panagiotis Mavridis and Jong, {Markus de} 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",

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pages = "88--92",

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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Mavridis, P, Jong, MD, Aroyo, L, Bozzon, A, Vos, JD, Oomen, J, Dimitrova, A & Badenoch, A 2018, A Human in the Loop Approach to Capture Bias and Support Media Scientists in News Video Analysis. 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, 11, CEUR Workshop Proceedings, vol. 2276, CEUR-WS, pp. 88-92, 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/paper11.pdf>

A Human in the Loop Approach to Capture Bias and Support Media Scientists in News Video Analysis. / Mavridis, Panagiotis; Jong, Markus de; 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. 88-92 11 (CEUR Workshop Proceedings; Vol. 2276).

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

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AU - Bozzon, Alessandro

AU - Vos, Jesse de

AU - Oomen, Johan

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AB - Bias is inevitable and inherent in any form of communication. News often appear biased to citizens with dierent political orientations, and understood dierently by news media scholars and the broader public. In this paper we advocate the need for accurate methods for bias identication in video news item, to enable rich analytics capabilities in order to assist humanities media scholars and social political scientists. We propose to analyze biases that are typical in video news (includingframing, gender and racial biases) by means of a human-in-the-loop approachthat combines text and image analysis with human computation techniques.

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KW - bias in news video files

KW - machine learning

KW - crowdsourcing

KW - human computation

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M3 - Conference contribution

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A2 - Aroyo, Lora

A2 - Dumitrache, Anca

A2 - Paritosh, Praveen

A2 - Quinn, Alex

A2 - Welty, Chris

A2 - Checco, Alessandro

A2 - Demartini, Gianluca

A2 - Gadiraju, Ujwal

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Mavridis P, Jong MD, Aroyo L, Bozzon A, Vos JD, Oomen J et al. A Human in the Loop Approach to Capture Bias and Support Media Scientists in News Video Analysis. 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. 88-92. 11. (CEUR Workshop Proceedings).

A Human in the Loop Approach to Capture Bias and Support Media Scientists in News Video Analysis

Abstract

Publication series

Conference

Bibliographical note

Keywords

Access to Document

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