Examining both MovieLens and Amazon's recommender systems, this paper provides empirical evidence on preference manipulation trends. It expands on previous studies, highlighting the importance of analyzing diverse user groups and content metrics to understand the nuances of preference shaping in commercial and non-commercial platforms.