The research on automated content is still at its initial stage (Carlson, 0000, Dörr, 0000, Napoli, 0000). Many studies in this stream focus on the impact of automated journalism on news organizations (Carlson, 0000, Napoli, 0000), journalists (Carlson, 0000), journalistic practices (Dörr, 0000), journalists' experiences in using automated technology (Thurman, Dörr, & Kunert, 0000), and journalists' opinions on the technology (Van Dalen, 0000). Fewer studies, however, investigate the user perception to automated content (see Clerwall, 0000). A few recent studies in this regard start to look into users' responses (e.g., Clerwall, 0000), but none was found to examine it in a cross-cultural environment. Employing a cross-cultural approach, this study investigates how news users in the United States and China perceive algorithm-generated news reports differently from those written by journalists. Results from this study should contribute to a better understanding of the user perception to automated content in a cross-cultural setting, which becomes an essential part of today's media ecology. Moreover, the findings help provide insights into the diffusion of algorithmic journalism and the new direction of media transformation in the 00st century.