This study investigates whether Google's Interpreter Mode can replace human interpreters within the context of a journalistic interview. In the first part, we explored the theoretical aspects of our work by discussing speech-to-speech machine translation and its components as well as its place within the world of journalism. We then presented Voice Assistant and Google's Interpreter Mode. The second part of this work discusses the experiment that we conducted by simulating three journalistic interviews which allowed us to evaluate Interpreter Mode. Interview participants evaluated the usability of the system as well as the fluency and adequacy of the translations it produced. We, on the other hand, looked closer at the number of successful interactions between the system and the users, as well as other metrics. Our result-analysis showed that Interpreter Mode is not capable of replacing human interpreters in the context of a journalistic interview.