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  1. A data-centric approach for ethical and trustworthy AI in journalism.Laurence Dierickx, Andreas Lothe Opdahl, Sohail Ahmed Khan, Carl-Gustav Lindén & Diana Carolina Guerrero Rojas - 2024 - Ethics and Information Technology 26 (4):1-13.
    AI-driven journalism refers to various methods and tools for gathering, verifying, producing, and distributing news information. Their potential is to extend human capabilities and create new forms of augmented journalism. Although scholars agreed on the necessity to embed journalistic values in these systems to make AI systems accountable, less attention was paid to data quality, while the results’ accuracy and efficiency depend on high-quality data in any machine learning task. Assessing data quality in the context of AI-driven journalism requires a (...)
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  • Perceived Ethical Performance of News Media: Regaining Public Trust and Encouraging News Participation.Kathleen Bartzen Culver & Byunggu Lee - 2019 - Journal of Media Ethics 34 (2):87-101.
    ABSTRACTAs news media face declining levels of trust, research has suggested that partisans may differ in their views of news media. Depending on their ideological positions, partisans may have dif...
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  • An Examination of the Use of Fake Names Among Central Asian Journalists.Bahtiyar Kurambayev & Karlyga Myssayeva - 2023 - Journal of Media Ethics 38 (1):48-59.
    This article examines byline issues and journalism ethics in an Asian context, with particular focus on how journalists invent and subsequently publish articles under various non-existent authors. The study took place between April and August 2022 in Kazakhstan, Kyrgyzstan and Uzbekistan, where ethical misbehavior in journalism is normalized and academic institutions in the region fail to develop students’ ethical approach to journalism. It is well known that journalists write about politically sensitive issues under pseudonyms or other names in authoritarian contexts, (...)
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