When humans interact with AI systems, they attribute different mental states (beliefs, feelings, and expectations) to the AI system, and even anthropomorphise it. This process is called mind attribution. This Bachelor’s thesis explores, whether there is a difference in mind attribution towards ChatGPT in scientific papers compared to media articles. Language analysis will be applied to a collection of scientific papers and a collection of media articles and Mind Perception Dictionary verbs, as well as Mental Physical Verb Norms, will be counted and analysed to deduce the level of mind attribution. Based on the Mental Physical Verb Norms, scientific papers attribute more mind towards ChatGPT than media articles. The use of the Mind Perception Dictionary indicates that scientific articles attribute more mind than media articles, even though these findings are not statistically significant. The findings clearly show: The Mind Perception Dictionary and the Mental Physical Verb Norm scale need more differentiation and refinement in the context of AI systems, as the exact meaning of each dictionary word needs to be evaluated in the context of AI.