3,051
Views
11
CrossRef citations to date
0
Altmetric
Original Articles

Parent–Child Communication on Facebook: Family Communication Patterns and Young Adults' Decisions to “Friend” Parents

, &
Pages 615-629 | Published online: 04 Nov 2013
 

Abstract

The role that family communication patterns (FCPs), sex, and Facebook® use play in young adults' decisions to “friend” their parents on Facebook was examined, as well as whether students who friend parents adjust their privacy settings. Results from an online survey of college students (N = 189) indicated that young adults who friend their parents are more likely to be female and report higher conversation FCPs than those who do not friend their parents. In addition, young adults who adjust privacy settings after friending parents (25.3%) update their profiles more often and report lower conversation and higher conformity FCPs than young adults who do not adjust privacy settings.

Additional information

Notes on contributors

Hannah Ball

Hannah Ball (M.A., West Virginia University, 2013) is a Ph.D. student in the Department of Communication Studies at West Virginia University.

Melissa B. Wanzer

Melissa B. Wanzer (Ed.D., West Virginia University, 1995) is a Professor in the Department of Communication Studies at Canisius College.

Timothy J. Servoss

Timothy J. Servoss (Ph.D., University at Buffalo, 2012) is an Assistant Professor in the Department of Psychology at Canisius College.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 256.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.