@inproceedings{4336fcf74b744164a0a57fc9ae04ff47,
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 different political orientations, and understood differently by news media scholars and the broader public. In this paper we advocate the need for accurate methods for bias identification 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.",
keywords = "Bias detection, bias in news video files, crowdsourcing, human computation, human in the loop, machine learning",
author = "Panagiotis Mavridis and {De Jong}, Markus and Lora Aroyo and Alessandro Bozzon and {De Vos}, Jesse and Johan Oomen and Antoaneta Dimitrova and Alec Badenoch",
year = "2018",
language = "English",
series = "CEUR Workshop Proceedings",
publisher = "CEUR-WS",
pages = "88--92",
editor = "Lora Aroyo and Anca Dumitrache",
booktitle = "Joint Proceedings SAD 2018 and CrowdBias 2018",
note = "1st 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 ; Conference date: 05-07-2018",
}
