Collaborative discovering influences of news in social network sites

Li Ho Leung, Vincent To Yee Ng, Chi Keung Simon Shiu

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

1 Citation (Scopus)

Abstract

In many cases, news articles are shared in Online Social Network (OSN) sites by their members. Disparate kinds of information are often propagated from the news media to the online social networks. Little efforts were devoted to measure or estimate the social influences of news media on the online social networks when compared to the identifications of their connectivity. In this paper, we took references on measurements of social influences among individuals in online social network and derived absolute, relative and combined measurements in order to deduce the social influences of single news article. Those measurements can be extended to a set of news articles and a social medium hence they can be used to evaluate and compare the social influences of the numerous news media. Experiments to compare the performances of the proposed measurements will also be demonstrated and discussed.
Original languageEnglish
Title of host publicationProceedings - 2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013
Pages712-717
Number of pages6
DOIs
Publication statusPublished - 1 Dec 2013
Event2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013 - Manchester, United Kingdom
Duration: 13 Oct 201316 Oct 2013

Conference

Conference2013 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2013
Country/TerritoryUnited Kingdom
CityManchester
Period13/10/1316/10/13

Keywords

  • Influential measurements
  • Social influences

ASJC Scopus subject areas

  • Human-Computer Interaction

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