A replication and extension of the Personal Social Media
Ecosystem Framework

A replication and extension of the Personal Social Media
Ecosystem Framework

social media, user interface classes, PSMEF, topic modeling, semantic network analysis.

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 evidenc-
ing 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.

Michael C. Carter 1,*, Drew P. Cingel2

, Samantha L. Vigil2

, Jeanette B. Ruiz2

https://doi.org/10.1093/jcmc/zmad036

Oxford University Press on behalf of International Communication Association.

11 August 2023

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