Two tests of social displacement through social media use

ABSTRACT

The present manuscript presents two tests of the hypothesis that social media use decreases social interaction, leading to decreased well-being. Study 1 used the Longitudinal Study of American Youth (N = 2774), which is a national probability sample of Generation X, to test displacement over a three-year time period. Latent change scores were used to test associations among social media adoption in 2009, social media use in 2011, direct contact frequency across years, in relation to change in well-being. Although social media adoption in 2009 predicted less social contact in 2011, increased social media use between 2009 and 2011 positively predicted well-being. Study 2 used experience sampling with a combined community and undergraduate sample (N = 116). Participants reported on their social interactions and passive social media use (i.e., excluding chat via social media) five times a day over five days. Results indicate that social media use at prior times of day was not associated with future social interaction with close others or with future face-to-face interaction. Passive social media use at prior times predicted lower future well-being only when alone at prior times. Neither study supported the social displacement hypothesis. Several interpretations of results, including a need-based account of social media use, are examined. The challenges of identifying an appropriate time scale to study social displacement are identified as critical question for future research.

KEYWORDS:

• Experience sampling methodology
• longitudinal methods
• LSAY
• social displacement
• social media use
• well-being

Acknowledgements

Thanks to Hailey Drescher for her assistance during data collection. A previous version of this manuscript was presented at the International Communication Association conference in San Diego, CA in May 2107.

Disclosure statement

No potential conflict of interest was reported by the authors.

Notes on contributors

Jeffrey A. Hall (PhD University of Southern California) (Corresponding author) is an Associate Professor in the Department of Communication Studies at the University of Kansas. His research focuses on the intersection between the adoption and use of mobile and social media and everyday life and relationship maintenance. He also studies dating, flirting, and humor in romantic relationships [email: [email protected]].

Michael W. Kearney (PhD University of Kansas) is an Assistant Professor in the School of Journalism with a joint appointment in the Informatics Institute at the University of Missouri. His research uses data science to examine political partisanship and data journalism in new media [email: [email protected]].

Chong Xing (MS, Fort Hays State University) is a doctoral candidate in the Department of Communication Studies and researcher at the Center for Research Methods and Data Analysis at the University of Kansas. He studies intergroup and interpersonal communication and emphasizes in advanced quantitative methodology [email: [email protected]].

ORCID

Michael W. Kearney http://orcid.org/0000-0002-0730-4694

Additional information

Funding

Study 2 was supported by University of Kansas intramural funding [Grant Number GRF#2301064].