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The Service Industries Journal Volume 42, 2022 - Issue 13-14
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Articles

Detecting fake reviews with supervised machine learning algorithms

用监督式机器学习算法检测虚假评论

Minwoo Leea Conrad N. Hilton College of Hotel and Restaurant Management, University of Houston, Houston, TX, USAORCID Iconhttps://orcid.org/0000-0002-4939-2936View further author information
ORCID Icon,
Young Ho Songb Odette School of Business, University of Windsor, Windsor, Ontario, CanadaORCID Iconhttps://orcid.org/0000-0003-0781-2186View further author information
ORCID Icon,
Lin Lic Business School, King Fahd University of Petroleum and Minerals, Dhahran, Saudi ArabiaORCID Iconhttps://orcid.org/0000-0002-6046-7847View further author information
ORCID Icon,
Kyung Young Leed Rowe School of Business, Dalhousie University, Halifax, Nova Scotia, CanadaORCID Iconhttps://orcid.org/0000-0003-2263-0559View further author information
ORCID Icon &
Sung-Byung Yange School of Management, Kyung Hee University, Seoul, Republic of KoreaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0003-0643-7070View further author information
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Pages 1101-1121 | Received 15 Mar 2021, Accepted 12 Mar 2022, Published online: 25 Mar 2022

Citations (13)

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Read on this site (3)

Stanislav Ivanov. (2023) The dark side of artificial intelligence in higher education. The Service Industries Journal 43:15-16, pages 1055-1082.
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Ruoyu Yu, Zelin Tong, Xue Wang & Xiaoliang Feng. (2023) Effects of the spatial environment on tourists’ willingness to adopt robot services. Journal of Travel & Tourism Marketing 40:9, pages 818-832.
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Osman El-Said, Sayed Elhoushy & Sara Al Bulushi. (2022) How do online review valence and ratings interact with consumer-generated visuals?. The Service Industries Journal 0:0, pages 1-30.
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Articles from other publishers (10)

Junyun Liao, Siying He, Wenting Feng & Raffaele Filieri. (2023) “I Love It” Versus “I Recommend It”: The Impact of Implicit and Explicit Endorsement Styles on Electronic Word-of-Mouth Persuasiveness. Journal of Travel Research 63:4, pages 779-795.
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Xuan Truong Du Chau, Thanh Toan Nguyen, Vinh Khiem Tran, Sara Quach, Park Thaichon, Jun Jo, Bay Vo, Quang Dieu Tran & Quoc Viet Hung Nguyen. (2023) Towards a Review-Analytics-as-a-Service (RAaaS) Framework for SMEs: A Case Study on Review Fraud Detection and Understanding. Australasian Marketing Journal 32:1, pages 76-90.
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Anil Jadhav, Manthan Walvatkar, Jyoti Bagde & Pavan Kalyan. (2024) Sentiment Analysis and Authenticity Assessment of Hotel Reviews. Sentiment Analysis and Authenticity Assessment of Hotel Reviews.
Fuzhong Nian, Chongpei Wang, Duan Zhang & Zhongkai Dang. (2024) A study on the propagation of online public opinion by internet water army. Social Network Analysis and Mining 14:1.
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Rasha Kassem. (2024) Spotlight on fraud risk in hospitality a systematic literature review. International Journal of Hospitality Management 116, pages 103630.
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Sasikala C, Ramya S, RajeshKumar S, Ramachandramoorthy K B, VijayaKumar S & Umapathi K. (2023) Fake Review Detection and Classification Using Improved Convolutional Neural Network on Amazon Dataset. Fake Review Detection and Classification Using Improved Convolutional Neural Network on Amazon Dataset.
Bernhard Guetz & Sonja Bidmon. (2023) The Credibility of Physician Rating Websites: A Systematic Literature Review. Health Policy 132, pages 104821.
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D. Praveenadevi, S. Geetha, B. Girimurugan, Dudda Sudeepthi, Charishma Pasupuleti & Bhavana Reddy Challa. (2023) An Improvised Method on Detecting Fake Reviews Systems Through AI Analytics on Sales Data. An Improvised Method on Detecting Fake Reviews Systems Through AI Analytics on Sales Data.
Michelle Walther, Timo Jakobi, Steven James Watson & Gunnar Stevens. (2023) A systematic literature review about the consumers’ side of fake review detection – Which cues do consumers use to determine the veracity of online user reviews?. Computers in Human Behavior Reports 10, pages 100278.
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Hyekyung Park, Minwoo Lee, Ki-Joon Back & Agnes DeFranco. (2022) Is Hotel Technology a Double-edged Sword on Customer Experience? A Mixed-method Approach using Big Data. Journal of Hospitality & Tourism Research, pages 109634802211327.
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