File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Conference Paper: In search of plagiarism behaviors: an empirical study of online reviews

TitleIn search of plagiarism behaviors: an empirical study of online reviews
Authors
KeywordsOnline product reviews
Plagiarism
Diagnosticity perception
Review helpfulness
Attribution theory
Issue Date2015
PublisherSpringer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/
Citation
The 2015 Pacific Asia Workshop on Intelligence and Security Informatics (PAISI 2015), Ho Chi Minh City, Vietnam, 19 May 2015. In Lecture Notes in Computer Science, 2015, v. 9074, p. 102-112 How to Cite?
AbstractPlagiarism has been a common phenomenon in the online environment. But the plagiarism phenomenon in online product reviews has been an uninvestigated issue, in spite of various studies in the product review domain. Readers of the plagiarized review could obtain the needed information for understanding the quality or other features of the products through reviews. Besides, the positivity or negativity of the plagiarized review might have different influences on people’s perception towards the target products. In this study, we first probe into the current situation of online review plagiarism. Then drawing on the frameworks of attribution theory, in order to examine the effects of plagiarism, we develop and test a model of reviews’ diagnosticity perception. The moderation effects of review rating and sentiment are also investigated on the relationship of review plagiarism and review perception. A research plan to analyze reviews collected from Amazon.com is discussed and the results are expected to shed lights upon the understanding of plagiarism behaviors for online reviews, contributing to both theoretical and managerial implications.
DescriptionLNCS v. 9074 entitled: Intelligence and Security Informatics: Pacific Asia Workshop, PAISI 2015 ... Proceedings
Persistent Identifierhttp://hdl.handle.net/10722/211080
ISBN
ISSN
2005 Impact Factor: 0.402
2015 SCImago Journal Rankings: 0.252

 

DC FieldValueLanguage
dc.contributor.authorBao, Z-
dc.contributor.authorChau, M-
dc.date.accessioned2015-07-07T02:16:23Z-
dc.date.available2015-07-07T02:16:23Z-
dc.date.issued2015-
dc.identifier.citationThe 2015 Pacific Asia Workshop on Intelligence and Security Informatics (PAISI 2015), Ho Chi Minh City, Vietnam, 19 May 2015. In Lecture Notes in Computer Science, 2015, v. 9074, p. 102-112-
dc.identifier.isbn978-3-319-18454-8-
dc.identifier.issn0302-9743-
dc.identifier.urihttp://hdl.handle.net/10722/211080-
dc.descriptionLNCS v. 9074 entitled: Intelligence and Security Informatics: Pacific Asia Workshop, PAISI 2015 ... Proceedings-
dc.description.abstractPlagiarism has been a common phenomenon in the online environment. But the plagiarism phenomenon in online product reviews has been an uninvestigated issue, in spite of various studies in the product review domain. Readers of the plagiarized review could obtain the needed information for understanding the quality or other features of the products through reviews. Besides, the positivity or negativity of the plagiarized review might have different influences on people’s perception towards the target products. In this study, we first probe into the current situation of online review plagiarism. Then drawing on the frameworks of attribution theory, in order to examine the effects of plagiarism, we develop and test a model of reviews’ diagnosticity perception. The moderation effects of review rating and sentiment are also investigated on the relationship of review plagiarism and review perception. A research plan to analyze reviews collected from Amazon.com is discussed and the results are expected to shed lights upon the understanding of plagiarism behaviors for online reviews, contributing to both theoretical and managerial implications.-
dc.languageeng-
dc.publisherSpringer Verlag. The Journal's web site is located at http://springerlink.com/content/105633/-
dc.relation.ispartofLecture Notes in Computer Science-
dc.rightsThe final publication is available at Springer via http://dx.doi.org/[insert DOI]-
dc.subjectOnline product reviews-
dc.subjectPlagiarism-
dc.subjectDiagnosticity perception-
dc.subjectReview helpfulness-
dc.subjectAttribution theory-
dc.titleIn search of plagiarism behaviors: an empirical study of online reviews-
dc.typeConference_Paper-
dc.identifier.emailChau, M: mchau@business.hku.hk-
dc.identifier.authorityChau, M=rp01051-
dc.identifier.doi10.1007/978-3-319-18455-5_8-
dc.identifier.hkuros244525-
dc.identifier.volume9074-
dc.identifier.spage102-
dc.identifier.epage112-
dc.publisher.placeGermany-
dc.customcontrol.immutablesml 150707-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats