Translation Accuracy as a National Security Capability: A Mixed-Methods Study of U.S. Diplomatic, Homeland Security, and Emergency Communication

This study reconceptualizes translation accuracy not as a peripheral linguistic service, but as a strategic national capability that shapes the effectiveness of U.S. diplomatic communication, homeland security operations, and emergency response systems. While prior research has acknowledged the role of translation in diplomacy, crisis communication, and multilingual public service delivery, empirical scholarship has seldom integrated these fields into a unified national-interest framework that links translation quality directly to operational clarity, institutional trust, risk mitigation, and decision effectiveness. Addressing this gap, the study develops and tests an integrated framework that positions translation as strategic infrastructure within high-stakes U.S. communication environments. Adopting a mixed-methods design, the study combines corpus-based analysis of official U.S. diplomatic and emergency communication texts, experimental comparison of human and AI-assisted translations, and stakeholder-based evidence generated through pre- and post-comprehension tests, structured questionnaires, and semi-structured interviews. The analytical framework evaluates four interrelated dimensions of translation performance: terminological precision, semantic fidelity, contextual appropriateness, and operational usability. Quantitative data are examined through t-tests, ANOVA, chi-square tests, and multivariate modeling, while qualitative evidence is analyzed using NVivo-assisted thematic coding. The originality of the study lies in shifting the analytical focus from translation as a support service to translation as a measurable national-security asset. Its central contribution is an empirically grounded model that demonstrates how translation performance influences diplomatic credibility, public safety communication, and institutional resilience. The study further generates policy-relevant implications for the U.S. Department of State, DHS, FEMA, and related agencies by clarifying when human oversight remains essential, where AI-assisted translation can improve responsiveness, and how multilingual communication can be institutionalized within strategic preparedness and governance frameworks. In doing so, the study advances theory at the intersection of translation studies, strategic communication, and national security, and provides actionable evidence for strengthening federal communication systems in multilingual, high-risk environments.