"In Platforms We Trust?Unlocking the Black-Box of News Algorithms throu" by Donghee Shin, Bouziane Zaid et al.
 

In Platforms We Trust?Unlocking the Black-Box of News Algorithms through Interpretable AI

Document Type

Article

Publication Date

1-1-2022

Abstract

With the rapid increase in the use and implementation of AI in the journalism industry, the ethical issues of algorithmic journalism have grown rapidly and resulted in a large body of research that applied normative principles such as privacy, information disclosure, and data protection. Understanding how users’ information processing leads to information disclosure in platformized news contexts can be important questions to ask. We examine users’ cognitive routes leading to information disclosure by testing the effect of interpretability on privacy in algorithmic journalism. We discuss algorithmic information processing and show how the process can be utilized to improve user privacy and trust.

Identifier

85130051455 (Scopus)

Publication Title

Journal of Broadcasting and Electronic Media

External Full Text Location

https://doi.org/10.1080/08838151.2022.2057984

e-ISSN

15506878

ISSN

08838151

First Page

235

Last Page

256

Issue

2

Volume

66

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