The correlations between the big-five personality traits and social networking site usage of elementary school students in Taiwan

Ying Chun Chou, Chiung Hui Chiu*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

The Big-Five personality traits may influence people’s usage of social networking sites (SNSs), and that of children may not be the same as adolescents or adults. This study investigated the relationships between elementary school students’ personality traits and their usage of SNSs. Two hundred and forty 6th graders in Taiwan were involved in this work. The results indicated there were no gender differences in students’ SNS usage. Extraversion had a significantly positive relationship with SNSs’ usage for sharing, branding, monitoring, and learning. Emotional stability had a positive correlation with using SNSs for relaxing. Learning was the most frequent activity carried out on SNSs among the elementary school students examined in this work, and few of them used such sites for expressing, branding, sharing, or organizing.

Original languageEnglish
Title of host publicationPattern Analysis, Intelligent Security and the Internet of Things
EditorsAjith Abraham, Azah Kamilah Muda, Yun-Huoy Choo
PublisherSpringer Verlag
Pages141-148
Number of pages8
ISBN (Print)9783319173979
DOIs
Publication statusPublished - 2015
Event4th World Congress on Information and Communication Technologies, WICT 2014 - Malacca, Malaysia
Duration: 2014 Dec 82014 Dec 11

Publication series

NameAdvances in Intelligent Systems and Computing
Volume355
ISSN (Print)2194-5357

Other

Other4th World Congress on Information and Communication Technologies, WICT 2014
Country/TerritoryMalaysia
CityMalacca
Period2014/12/082014/12/11

Keywords

  • Big-Five-factor model
  • Elementary school students
  • Online usage
  • Personality traits
  • Social networking site

ASJC Scopus subject areas

  • Control and Systems Engineering
  • General Computer Science

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