Michael C Carter, Drew P Cingel, Samantha L Vigil, Jeanette B Ruiz
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引用次数: 0
Abstract
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.
期刊介绍:
The Journal of Computer-Mediated Communication (JCMC) has been a longstanding contributor to the field of computer-mediated communication research. Since its inception in 1995, it has been a pioneer in web-based, peer-reviewed scholarly publications. JCMC encourages interdisciplinary research, welcoming contributions from various disciplines, such as communication, business, education, political science, sociology, psychology, media studies, and information science. The journal's commitment to open access and high-quality standards has solidified its status as a reputable source for scholars exploring the dynamics of communication in the digital age.