Quantifying utility and trustworthiness for advice shared on online social media

Sai T. Moturu, Jian Yang, Huan Liu

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

2 Scopus citations

Abstract

The growing popularity of social media in recent years has resulted in the creation of an enormous amount of user-developed content. While information is readily available, there is no easy way to find the most useful content or to detect whether it is trustworthy. A casual observer might not be able to differentiate between the useful and the useless or the trustworthy and the untrustworthy. In this work, we wish to study the problem of quantifying the value of such user-shared content. In particular, we are focussed on health content as the negative impacts are higher for this domain.We use advice shared on a health social network, Daily Strength, for this study. We describe and define the notions of trustworthiness and utility for social media content. We identify the necessity and challenges for their assessment, and propose a framework that helps address these challenges by identifying relevant features and providing empirical means to meet the requirements for such an evaluation. We select relevant variables and perform numerous experiments to evaluate our models. The results demonstrate promising performance that could possibly be replicated with other social media applications.

Original languageEnglish (US)
Title of host publicationProceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009 - 2009 IEEE International Conference on Social Computing, SocialCom 2009
Pages489-494
Number of pages6
DOIs
StatePublished - 2009
Event2009 IEEE International Conference on Social Computing, SocialCom 2009 - Vancouver, BC, Canada
Duration: Aug 29 2009Aug 31 2009

Publication series

NameProceedings - 12th IEEE International Conference on Computational Science and Engineering, CSE 2009
Volume4

Other

Other2009 IEEE International Conference on Social Computing, SocialCom 2009
CountryCanada
CityVancouver, BC
Period8/29/098/31/09

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Software

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