A Classification of Biases Relating to the Production, Dissemination and Consumption of News Brendan Spillane Vincent Wade
[email protected] [email protected] ADAPT Centre ADAPT Centre Trinity College Dublin Trinity College Dublin ABSTRACT There are many difficulties in studying bias at the production, dissemination, or consumption stages of the news pipeline. These include the difficulty of identifying high quality empirical research, the lack of agreed terminology and definitions, and the overlapping nature of many forms of bias. Much of the empirical research in the domain is disjointed and there are few examples of concerted efforts to address overarching research challenges. This paper details ongoing work to create a classification of biases relating to news. It is divided into three sub-classifications focusing on the production, dissemination, and consumption stages of the news pipeline. CCS CONCEPTS • Human-centered computing ! HCI theory, concepts and models; Interaction design theory, concepts and paradigms. KEYWORDS News; Bias; Classification of Biases ACM Reference Format: Brendan Spillane and Vincent Wade. A Classification of Biases Relating to the Production, Dissemination and Consumption of News. In Proceedings of . CHI 2020 Workshop on Detection and Design for Cognitive Biases in People and Computing Systems, April 25, 2020, Honolulu HI, USA., Article , 12 pages. © 2020. Proceedings of the CHI 2020 Workshop on Detection and Design for Cognitive Biases in People and Computing Systems, April 25, 2020, Honolulu HI, USA. Copyright is held by the owner/author(s) A Classification of Biases Relating to the Production, Dissemination and Consumption of News ,, INTRODUCTION One of the core issues affecting the study of bias at any stage of the news consumption pipeline is the lack of an easily accessible and referenceable classification of biases.