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Automated Journalism as a Source of and a Diagnostic Device for Bias in Reporting
[journal article]
Abstract In this article we consider automated journalism from the perspective of bias in news text. We describe how systems for automated journalism could be biased in terms of both the information content and the lexical choices in the text, and what mechanisms allow human biases to affect automated journa... view more
In this article we consider automated journalism from the perspective of bias in news text. We describe how systems for automated journalism could be biased in terms of both the information content and the lexical choices in the text, and what mechanisms allow human biases to affect automated journalism even if the data the system operates on is considered neutral. Hence, we sketch out three distinct scenarios differentiated by the technical transparency of the systems and the level of cooperation of the system operator, affecting the choice of methods for investigating bias. We identify methods for diagnostics in each of the scenarios and note that one of the scenarios is largely identical to investigating bias in non-automatically produced texts. As a solution to this last scenario, we suggest the construction of a simple news generation system, which could enable a type of analysis-by-proxy. Instead of analyzing the system, to which the access is limited, one would generate an approximation of the system which can be accessed and analyzed freely. If successful, this method could also be applied to analysis of human-written texts. This would make automated journalism not only a target of bias diagnostics, but also a diagnostic device for identifying bias in human-written news.... view less
Keywords
journalism; news; reporting; automation
Classification
Communicator Research, Journalism
Free Keywords
algorithmic journalism; automated journalism; bias; diagnosis
Document language
English
Publication Year
2020
Page/Pages
p. 39-49
Journal
Media and Communication, 8 (2020) 3
Issue topic
Algorithms and Journalism: Exploring (Re)Configurations
ISSN
2183-2439
Status
Published Version; peer reviewed