On Modeling Trust in Social Media using Link Polarity

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dc.contributor.authorKale, Anubhav
dc.contributor.authorKolari, Pranam
dc.contributor.authorJava, Akshay
dc.contributor.authorFinin, Tim
dc.contributor.authorJoshi, Anupam
dc.date.accessioned2018-11-29T20:17:01Z
dc.date.available2018-11-29T20:17:01Z
dc.date.issued2007-05-14
dc.description.abstractThere is a growing interest in exploring the role of social networks to understand how communities and individuals spread influence. In a densely connected online world, social media and networks have a great potential in influencing our thoughts and actions. We describe techniques to model trust in social media and present experimental results on finding “like minded” blogs based on blog-to-blog link sentiment for a particular domain. Using simple sentiment detection techniques, we identify the polarity (positive, negative or neutral) of the text surrounding links that point from one blog post to another. We use a trust propagation model to spread this sentiment from a subset of connected blogs to other blogs and deduce like-minded blogs in the blog graph. We then extend the same technique to label main stream news sources as left- or right-leaning based on the links between blogs and news sources. Our results confirm that the simple heuristics to analyze the text surrounding links and our trust propagation model are highly applicable for domains having weak link structure. These techniques demonstrate the potential of using polar links for more generic problems such as detecting trustworthy nodes in web graphs.en_US
dc.description.sponsorshipPartial support was provided by NSF awards ITR-IIS-0326460 and ITR-IDM-0219649 and funding from I.B.M.
dc.description.urihttps://ebiquity.umbc.edu/paper/html/id/370/On-Modeling-Trust-in-Social-Media-using-Link-Polarityen_US
dc.format.extent8 pagesen_US
dc.genretechnical Reportsen_US
dc.identifierdoi:10.13016/M22B8VG68
dc.identifier.urihttp://hdl.handle.net/11603/12141
dc.language.isoen_USen_US
dc.publisherUniversity of Maryland, Baltimore Countyen_US
dc.relation.isAvailableAtThe University of Maryland, Baltimore County (UMBC)
dc.relation.ispartofUMBC Computer Science and Electrical Engineering Department Collection
dc.relation.ispartofUMBC Faculty Collection
dc.relation.ispartofUMBC Student Collection
dc.relation.ispartofseriesTechnical Report;EB06
dc.rightsThis item is likely protected under Title 17 of the U.S. Copyright Law. Unless on a Creative Commons license, for uses protected by Copyright Law, contact the copyright holder or the author.
dc.subjectblogen_US
dc.subjectopinion extractionen_US
dc.subjectsentiment detectionen_US
dc.subjectsocial mediaen_US
dc.subjecttrusten_US
dc.subjectUMBC Ebiquity Research Groupen_US
dc.titleOn Modeling Trust in Social Media using Link Polarityen_US
dc.typeTexten_US

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