Fake online reviews: Literature review, synthesis, and directions for future research
Fake online reviews in e-commerce significantly affect online consumers, merchants, and,
as a result, market efficiency. Despite scholarly efforts to examine fake reviews, there still …
as a result, market efficiency. Despite scholarly efforts to examine fake reviews, there still …
[HTML][HTML] Research on false review detection methods: A state-of-the-art review
Fake reviews are popular today where product reviewers write the reviews without
experiencing or purchasing the product on e-commerce and restaurant portals. Currently …
experiencing or purchasing the product on e-commerce and restaurant portals. Currently …
Motivation and satisfaction of Chinese and US tourists in restaurants: A cross-cultural text mining of online reviews
SS Jia - Tourism Management, 2020 - Elsevier
Tourists with dissimilar cultural backgrounds think and behave differently. Precisely
capturing and correctly understanding the cultural difference will help tourism managers …
capturing and correctly understanding the cultural difference will help tourism managers …
Exploring online customer engagement with hospitality products and its relationship with involvement, emotional states, experience and brand advocacy
Opinions published online about a given experience are known to influence consumers'
decisions. However, such opinions reflect different degrees of engagement which may affect …
decisions. However, such opinions reflect different degrees of engagement which may affect …
Automated crowdturfing attacks and defenses in online review systems
Malicious crowdsourcing forums are gaining traction as sources of spreading misinformation
online, but are limited by the costs of hiring and managing human workers. In this paper, we …
online, but are limited by the costs of hiring and managing human workers. In this paper, we …
Detecting review manipulation on online platforms with hierarchical supervised learning
Opinion spammers exploit consumer trust by posting false or deceptive reviews that may
have a negative impact on both consumers and businesses. These dishonest posts are …
have a negative impact on both consumers and businesses. These dishonest posts are …
Resampling imbalanced data to detect fake reviews using machine learning classifiers and textual-based features
Fraudulent online sellers often collude with reviewers to garner fake reviews for their
products. This act undermines the trust of buyers in product reviews, and potentially reduces …
products. This act undermines the trust of buyers in product reviews, and potentially reduces …
[HTML][HTML] Analyzing restaurant customers' evolution of dining patterns and satisfaction during COVID-19 for sustainable business insights
S Jia - Sustainability, 2021 - mdpi.com
Observing and interpreting restaurant customers' evolution of dining patterns and
satisfaction during COVID-19 is of critical importance in terms of developing sustainable …
satisfaction during COVID-19 is of critical importance in terms of developing sustainable …
Collusion-aware detection of review spammers in location based social networks
J Cao, R Xia, Y Guo, Z Ma - World Wide Web, 2019 - Springer
To ensure the quality of online review, more and more location-based social networks
(LBSNs), like Yelp, have established the filtering systems to detect groups of review …
(LBSNs), like Yelp, have established the filtering systems to detect groups of review …
Experience: improving opinion spam detection by cumulative relative frequency distribution
Over the past few years, online reviews have become very important, since they can
influence the purchase decision of consumers and the reputation of businesses. Therefore …
influence the purchase decision of consumers and the reputation of businesses. Therefore …