A replication and extension of the Personal Social Media Ecosystem Framework
本研究复制并扩展了个人社交媒体生态系统框架，通过主题建模和混合方法，基于用户对六大平台的描述，识别出四类不同的用户界面，为社交媒体使用的概念化和操作化提供依据。
Abstract The recently forwarded Personal Social Media Ecosystem Framework (PSMEF) allows researchers to study social media in terms of generalized types of user interfaces. This study formally extended the PSMEF via the Digital User Interface Model and replicated previous work by evidencing the existence of new (e.g., Overtly Algorithmic Content Pages) and validating previously identified types of user interfaces (e.g., Home Pages and Chats/Messages) that make up individuals’ personal social media environments. Using topic modeling (i.e., Latent Dirichlet Allocation) and a novel mixed methods approach (i.e., schematic semantic network analysis), we quantitatively evidenced four distinct classes of user interfaces based on open-ended descriptions that participants provided for six popular social media platforms (i.e., Instagram, Snapchat, Facebook, Twitter, TikTok, and YouTube). Results inform on the qualitative differences between distinct user interface classes that underwrite users’ experiences over social media, with implications for conceptualization and operationalization related to social media use.