FACT-CHECKING AUTOMATION: AN ETHNOGRAPHIC APPROACH TO NEWSROOMS

Abstract

This article explores the adoption of artificial intelligence-driven automation tools in factchecking newsrooms, focusing on their potential to enhance verification efficiency and reach. Using digital ethnography and semi-structured interviews with executives, journalists, and engineers from Duke Reporters’ Lab (USA) and Full Fact (UK), the study examines the motivations for adopting these tools, their impact on fact-checking practices, perceived benefits, user attitudes, and measurable outcomes. Findings reveal significant variations in approaches and results across newsrooms, underscoring ongoing challenges in implementing automation tools within complex workflows. This work advances understanding of automation’s role in fact-checking and offers insights for future research.