Adaptive big data analytics for deceptive review detection in online social media

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review

18 Scopus Citations
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Detail(s)

Original languageEnglish
Title of host publication35th International Conference on Information Systems "Building a Better World Through Information Systems", ICIS 2014
PublisherAssociation for Information Systems
ISBN (print)9781634396943
Publication statusPublished - Dec 2014

Conference

Title35th International Conference on Information Systems (ICIS 2014)
PlaceNew Zealand
CityAuckland
Period14 - 17 December 2014

Abstract

The explosive growth of user-contributed reviews in e-Commerce and online social network sites prompts for the design of novel big data analytics frameworks to cope with such a challenge. The main contributions of our research are twofold. First, we design a novel big data analytics framework that leverages distributed computing and streaming to efficiently process big social media data streams. Second, we apply the proposed framework that is underpinned by a novel parallel co-evolution genetic algorithm to adaptively detect deceptive reviews with respect to different social media contexts. Our experiments show that the proposed big data analytics framework can effectively and efficiently detect deceptive reviews from a big social media data stream, and it outperforms other non-distributed big data analytics solutions. To the best of our knowledge, this is the first successful design of an adaptive big data analytics framework for deceptive review detection under a big data environment.

Research Area(s)

  • Big data analytics, Design science, Parallel genetic algorithm, Streaming

Bibliographic Note

Publication details (e.g. title, author(s), publication statuses and dates) are captured on an “AS IS” and “AS AVAILABLE” basis at the time of record harvesting from the data source. Suggestions for further amendments or supplementary information can be sent to lbscholars@cityu.edu.hk.

Citation Format(s)

Adaptive big data analytics for deceptive review detection in online social media. / Zhang, Wenping; Lau, Raymond Y.K.; Li, Chunping.
35th International Conference on Information Systems "Building a Better World Through Information Systems", ICIS 2014. Association for Information Systems, 2014.

Research output: Chapters, Conference Papers, Creative and Literary WorksRGC 32 - Refereed conference paper (with host publication)peer-review