Gammalt möter nytt: SVT Nyheter, artificiell intelligens och migrationsperspektiv.

Migration has been a contested issue in Swedish politics over the past decade, and media coverage has repeatedly sparked debate about the impartiality of Sveriges Television (SVT). Using large language models (LLMs) as coding instruments, this study examines how migration has been framed in SVT Nyheter, a major Swedish public service news outlet, between 2014 and 2024. Rather than explaining causal mechanisms behind perceived bias, the study describes patterns of political framing over time and assesses whether these patterns align with the neutrality and impartiality requirements stipulated in SVT’s broadcasting licence. The findings suggest that SVT Nyheter’s migration reporting varies over time rather than exhibiting a stable directional bias. When deviations from neutrality are observed, they tend to consistently favor migration positive perspectives rather than anti- migration ones. While differences between LLMs are present, the overall trends are consistent across models. The study contributes to political communication research by demonstrating both the potential and the limitations of LLMs for quantitative text analysis in political science.