A preliminary approach to domain-based evaluation of users' trustworthiness in Online Social Networks

Bilal Abu Salih, Pornpit Wongthongtham, Seyed Mehdi Reza Beheshti, Dengya Zhu

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

13 Citations (Scopus)

Abstract

Online Social Networks (OSNs) are a fertile medium through which users can unleash their opinions and share their thoughts, activities and knowledge of various topics and domains. This medium allows legitimate users as well as spammers to publish their content, leveraging the open environment and fewer restrictions associated with OSNs. Hence, it is essential to evaluate users' credibility in various domains and accordingly make judgements about potentially influential users in a particular domain(s). Most of the existing trustworthiness evaluation approaches of users and their posts in OSNs are generic-based approaches. There is a lack of domain-based trustworthiness evaluation mechanisms. In OSNs, discovering users' influence in a specific domain has been motivated by its significance in a broad range of applications such as personalized recommendation systems and expertise retrieval. The aim of this paper is to present a preliminary approach to evaluating domain-based user's trustworthiness in OSNs. We provide a novel distinguishing measurement for users in a set of knowledge domains. Domains are extracted from the user's content using semantic analysis. In order to obtain the level of trustworthiness, a metric incorporating a number of attributes extracted from content analysis and user analysis is consolidated and formulated considering temporal factor. The approach presented in this paper is promising since it provides a fine-grained trustworthiness analysis of users and their domains of interest in the OSNs.

Original languageEnglish
Title of host publicationProceedings, 2015 IEEE International Congress on Big Data
Subtitle of host publicationBigData Congress 2015
EditorsCarminati Barbara, Latifur Khan
Place of PublicationLos Alamitos, CA
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Pages460-466
Number of pages7
ISBN (Electronic)9781467372787
DOIs
Publication statusPublished - 17 Aug 2015
Externally publishedYes
Event4th IEEE International Congress on Big Data, BigData Congress 2015 - New York City, United States
Duration: 27 Jun 20152 Jul 2015

Conference

Conference4th IEEE International Congress on Big Data, BigData Congress 2015
CountryUnited States
CityNew York City
Period27/06/152/07/15

Keywords

  • Domain-Based Trust
  • Information Retrieval
  • Online Social Networks
  • Semantic Analysis

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