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DRI-RCNN: An approach to deceptive review identification using recurrent convolutional neural network
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Emerson F. Cardoso et al.
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David M. J. Lazer et al.
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Srijan Kumar et al.
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Yafeng Ren et al.
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Luyang Li et al.
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Yuanshun Yao et al.
CCS'17: PROCEEDINGS OF THE 2017 ACM SIGSAC CONFERENCE ON COMPUTER AND COMMUNICATIONS SECURITY (2017)
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Julien Fontanarava et al.
2017 IEEE INTERNATIONAL CONFERENCE ON DATA SCIENCE AND ADVANCED ANALYTICS (DSAA) (2017)
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Zhuo Wang et al.
COMPUTER JOURNAL (2016)
Detection of fake opinions using time series
Atefeh Heydari et al.
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Xin Ruan et al.
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Dongsong Zhang et al.
JOURNAL OF MANAGEMENT INFORMATION SYSTEMS (2016)
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Michael Luca et al.
MANAGEMENT SCIENCE (2016)
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Eka Dyar Wahyuni et al.
3RD BALI INTERNATIONAL SEMINAR ON SCIENCE & TECHNOLOGY (BISSTECH 2015) (2016)
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David Savage et al.
EXPERT SYSTEMS WITH APPLICATIONS (2015)
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Atefeh Heydari et al.
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Donato Hernandez Fusilier et al.
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Vlad Sandulescu et al.
WWW'15 COMPANION: PROCEEDINGS OF THE 24TH INTERNATIONAL CONFERENCE ON WORLD WIDE WEB (2015)
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Amir Fayazi et al.
SIGIR 2015: PROCEEDINGS OF THE 38TH INTERNATIONAL ACM SIGIR CONFERENCE ON RESEARCH AND DEVELOPMENT IN INFORMATION RETRIEVAL (2015)
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Chang Xu et al.
2015 IEEE INTERNATIONAL CONFERENCE ON DATA MINING (ICDM) (2015)
Spammers Detection from Product Reviews: A Hybrid Model
Zhiang Wu et al.
2015 IEEE INTERNATIONAL CONFERENCE ON DATA MINING (ICDM) (2015)
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Euijin Choo et al.
DATA AND APPLICATIONS SECURITY AND PRIVACY XXIX (2015)
Probabilistic graphical models in modern social network analysis
Alireza Farasat et al.
SOCIAL NETWORK ANALYSIS AND MINING (2015)
Discovering Opinion Spammer Groups by Network Footprints
Junting Ye et al.
MACHINE LEARNING AND KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2015, PT I (2015)
Detection of Opinion Spam with Character n-grams
Donato Hernandez Fusilier et al.
COMPUTATIONAL LINGUISTICS AND INTELLIGENT TEXT PROCESSING (CICLING 2015), PT II (2015)
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Snehasish Banerjee et al.
ACM IMCOM 2015, PROCEEDINGS (2015)
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Qiang Cao et al.
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CoBaFi - Collaborative Bayesian Filtering
Alex Beutel et al.
WWW'14: PROCEEDINGS OF THE 23RD INTERNATIONAL CONFERENCE ON WORLD WIDE WEB (2014)
Overcoming the J-shaped Distribution of Product Reviews
Nan Hu et al.
COMMUNICATIONS OF THE ACM (2009)
Preferred Reporting Items for Systematic Reviews and Meta-Analyses: The PRISMA Statement
David Moher et al.
PLOS MEDICINE (2009)
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