2021
DOI: 10.1007/s43545-021-00193-8
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Fake reviews on online platforms: perspectives from the US, UK and EU legislations

Abstract: User-generated online reviews have become essential sources of information for potential consumers. Given the increasing importance of online reviews on consumer purchases, some traders try to publish or promote fake reviews on online platforms to improve the reputation of their goods or services, or to damage the reputation of their competitors. This paper aims (1) to analyse whether and how fake reviews violate the main legal and ethical principles of advertising, according to the legislations of the US, UK … Show more

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Cited by 6 publications
(2 citation statements)
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“…This transformation is also influenced by external stimulation in the form of marketing strategies from the skincare industry (Ferdinand & Ciptono, 2022). This marketing strategy taking form in the "appeal" of skincare products efficacy that can realize certain physical appearance in accordance to visual aesthetic image attached as a certain standard (Martínez Otero, 2021). This then continues to encourage consumers to do massive consumption towards skincare as their "need" or can also be referred to as consumptive behavior and its emergence provides validation to companies who encourage and facilitate consumption towards their product.…”
Section: Introductionmentioning
confidence: 99%
“…This transformation is also influenced by external stimulation in the form of marketing strategies from the skincare industry (Ferdinand & Ciptono, 2022). This marketing strategy taking form in the "appeal" of skincare products efficacy that can realize certain physical appearance in accordance to visual aesthetic image attached as a certain standard (Martínez Otero, 2021). This then continues to encourage consumers to do massive consumption towards skincare as their "need" or can also be referred to as consumptive behavior and its emergence provides validation to companies who encourage and facilitate consumption towards their product.…”
Section: Introductionmentioning
confidence: 99%
“…Another study combined CNN with other machine learning algorithms to improve the accuracy of fake review detection on TripAdvisor, achieving an accuracy rate of 87.0%. Combining CNN with other machine learning algorithms has demonstrated potential in detecting fake online reviews, such as the approach taken by Martínez Otero ( 2021 ). Birim et al ( 2022 ) who achieved high accuracy rates on various datasets.…”
Section: Introductionmentioning
confidence: 99%