One size doesn’t fit all: forms of social technology differentially predict distress

1Citations
Citations of this article
13Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

The current study explored diverse forms of social technology and their corresponding links to distress and well-being during the COVID-19 pandemic. A multinational sample of 302 adults in the United States, Mexico, and Japan self-reported on their use of various forms of social technology, psychological distress, and happiness. Results revealed cultural differences in the amount of social technology use (Mexicans highest, Japanese lowest). While total social technology use positively predicted both distress and happiness, specific forms of social technology differentially predicted distress and happiness. Videoconferencing was associated with lower distress and greater happiness, whereas social media was associated with greater distress and lower happiness. Findings also showed that the use of dating apps was a marginally significant negative predictor of both distress and happiness. These findings suggest that forms of social technology that better mirror in-person interaction may confer greater mental health benefits compared to those that are less naturalistic.

Cite

CITATION STYLE

APA

Benjamin, L. R., & Wang, S. wen. (2022). One size doesn’t fit all: forms of social technology differentially predict distress. Communication Research Reports, 39(2), 80–92. https://doi.org/10.1080/08824096.2022.2037542

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free