978
Views
19
CrossRef citations to date
0
Altmetric
Original Article

Facebook addiction and impulsive decision-making

ORCID Icon, &
Pages 478-486 | Received 05 Sep 2016, Accepted 14 Nov 2017, Published online: 27 Nov 2017
 

Abstract

Introduction: This study examined the relationship between Facebook ‘addiction’ and impulsive decision-making. Impulsive decision-making, as measured by the delay discounting task, is associated with a number of addictions and other problem behaviors. 

Methods: We gave 75 students a paper-based packet including the Bergen Facebook Addiction Scale to measure Facebook addiction and a delay discounting task to assess one facet of impulsivity, impulsive choice. 

Results: When controlling for covariates, we found that those addicted to Facebook discounted delayed rewards more quickly than their non-addicted controls. 

Discussion: These findings suggest that those addicted to Facebook may be more impulsive than those who are not addicted to Facebook. These results may indicate that Facebook addiction shares a core characteristic (impulsivity) with other kinds of addiction and further exploration of this area is potentially warranted.

Disclosure statement

This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors. The authors have no conflicts of interests to report.

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 65.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 416.00 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.