It Listens to Me So I Feel Well and Connected: Investigating the Influence of TikTok users’ Perceived Algorithm Responsiveness and (In)sensitivity on Well-Being Via Self-Determination

Abstract

Social media has grown to be a large part of our virtual connectedness online. However, with this growth in digital connection, we have also become connected with digital entities that run them (social media). Borrowing from the concept of interpersonal responsiveness, researchers have found that users perceive their algorithm to be responsive to their needs and sensitive to their identity have a greater sense of well-being online and media enjoyment. However, the mechanisms for which these connect with one another (responsiveness predicting subjective well-being) remain to be disentangled. Guided by self-determination theory, this study examines whether autonomy, competence, and relatedness satisfaction through TikTok use mediate the associations between perceived algorithm responsiveness and insensitivity and satisfaction with life. With an online survey (N = 385), our study found that greater responsiveness is associated with greater life satisfaction mediated through greater relatedness satisfaction. However, greater competence satisfaction was associated with lower life satisfaction. Future research and current limitations in light of our findings are discussed.

Publication
Social Media + Society, 12(1), 1–15. https://doi.org/10.1177/20563051261417301
Matthew J. A. Craig
Matthew J. A. Craig
Assistant Professor of Computer-Mediated Communication

Matthew Craig is an Assistant Professor of Computer-Mediated Communication in the School of Communication, Journalism, and Media at Central Michigan University (CMU) and Director of the Communication and Social Robotics Labs (COMBOTLABS) at CMU. Before CMU, Matthew was the inaugural College of Communication and Information Postdoctoral Research Associate in the Information Integrity Institute at Tennessee’s flagship university, the University of Tennessee, Knoxville (Dr. Catherine Luther, Faculty Mentor). Matthew’s research interests are in human-machine communication and new media, focusing on the intersections of human-machine communication, privacy management, and society.