Identifying factors affecting individual perceived credibility on SNS

Lihong Song, Jean H Y LAI, Jianjun Li

Research output: Chapter in book/report/conference proceedingConference contributionpeer-review

Abstract

Social networking site (SNS) is increasingly attracting attentions of the public. Plenty modes of implications of SNSs have sprung up. However, potential risks such as false identity occur at the same time. Credibility of individual is one of an efficient and effective measurement to assess risks. To expand this measurement on SNS, this study conducted an online survey to investigate factors affecting credibility on SNS. Over 200 respondents participated to identify how six factors affect individual perceived credibility on SNS, including “real-world feel”, “expertise”, “trustworthiness”, “ease to use”, “physical attractiveness” and “commercial implication”. Through doing statistical analysis of the 213 questionnaire respondents' data, this study explored the result which verified that all the factors had impact on credibility significantly instead of “real-world feel” and “physical attractiveness”. The result of this study made contributions and suggested implications for the public and academics by identify factors affecting credibility on SNS.

Original languageEnglish
Title of host publicationProceedings of the 3rd Multidisciplinary International Social Networks Conference, SocialInformatics 2016, Data Science 2016, MISNC, SI, DS 2016
PublisherAssociation for Computing Machinery
ISBN (Print)9781450341295
DOIs
Publication statusPublished - 15 Aug 2016
Event3rd Multidisciplinary International Social Networks Conference, MISNC 2016, 5th ASE International Conference on Social Informatics, SocialInformatics 2016 and 7th ASE International Conference on Data Science, DS 2016 - Union, United States
Duration: 15 Aug 201617 Aug 2016

Publication series

NameACM International Conference Proceeding Series

Conference

Conference3rd Multidisciplinary International Social Networks Conference, MISNC 2016, 5th ASE International Conference on Social Informatics, SocialInformatics 2016 and 7th ASE International Conference on Data Science, DS 2016
Country/TerritoryUnited States
CityUnion
Period15/08/1617/08/16

Scopus Subject Areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

User-Defined Keywords

  • Commercial implication
  • Credibility
  • Expertise
  • Physical attractive
  • Trustworthiness

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