Title

Impact of credibility on opinion analysis in social media

Document Type

Conference Proceeding

Source of Publication

Fundamenta Informaticae

Publication Date

1-1-2018

Abstract

© 2018 IOS Press. All rights reserved. In conjunction with the rapid growth and adoption of social media, people are more and more willing to share their personal experiences and opinions about products and/or services with the community. Opinions could be the basis of developing systems that would advise future users on how to proceed with any purchase without risking any disappointment. Unfortunately, opinions are not always genuine due to for instance, biased users as well as mixed feedback coming from the same users (i.e., multi-identity). This paper presents an approach for opinion analysis using credibility as a decisive criterion for supporting future users make sound decisions. The effectiveness of this approach has been tested using opinions posted on Twitter.

ISSN

0169-2968

Publisher

IOS Press

Volume

162

Issue

4

First Page

259

Last Page

281

Disciplines

Computer Sciences | Social and Behavioral Sciences

Keywords

Credibility, Multi-identity, Opinion, Social media., Twitter

Scopus ID

85051940023

Indexed in Scopus

yes

Open Access

no

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