Examining household effects on individual Twitter adoption: A multilevel analysis based on U.K. household survey data

PLoS One. 2024 Jan 25;19(1):e0297036. doi: 10.1371/journal.pone.0297036. eCollection 2024.

Abstract

Previous studies mainly focused on individual-level factors that influence the adoption and usage of mobile technology and social networking sites, with little emphasis paid to the influences of household situations. Using multilevel modelling approach, this study merges household- (n1 = 1,455) and individual-level (n2 = 2,570) data in the U.K. context to investigate (a) whether a household economic capital (HEC) can affect its members' Twitter adoption, (b) whether the influences are mediated by the member's activity variety and self-reported efficacy with mobile technology, and (c) whether the members' traits, including educational level, gross income and residential area, moderate the relationship between HEC and Twitter adoption. Significant direct and indirect associations were discovered between HEC and its members' Twitter adoption. The educational level and gross income of household members moderated the influence of HEC on individuals' Twitter adoption.

MeSH terms

  • Educational Status
  • Family Characteristics
  • Humans
  • Income
  • Multilevel Analysis
  • Social Media*

Grants and funding

This article was funded by: ESRC project 'Understanding [Online/Offline] Society: Linking Surveys with Twitter Data' (ES/S015175/1)' ESRC project 'Understanding Society: The UK Household Longitudinal Survey Waves 13-15' (ES/T002611/1)'.