With the vast amount of online content available to us, platforms are utilizing recommender systems to help their users in their decision making. By presenting content that is in line with the user’s taste and preferences a personalized experience can be created. Platforms such as Netflix and Spotify have started to create an additional layer of personalization by framing of the content presentation through tailoring album art and titles towards the user. Even though all content in a user account is personalized, this additional layer of personalization creates a distinction between “regular" content and implied personalized content. In this work we explore how the textual framing (generic vs. personalized) of music playlists influences behaviors and content expectations. Our findings show that users mostly ignore the implied personalized playlists as they expect that it only consists of previously listened songs, while generic playlists are exploited to find new music to listen to.