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?

Walther, Michelle; Jakobi, Timo; Watson, Stephen R.; Stevens, Gunnar

doi:10.1016/j.chbr.2023.100278

Cited by 8 publications

(5 citation statements)

References 82 publications

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“…Chen et al, 2019;Choi et al, 2017;L. Li et al, 2020;Walther et al, 2023), while others as "spam" (Heydari et al, 2015;Lau et al, 2011;Lin et al, 2014). Both terms are used interchangeably to describe reviews not based on any prior product or service experimentation (Banerjee and Chua, 2021;Choi et al, 2017) or "authentic" or "real" reviews that result from a product or service compensation, another type of offer, or service provider encouragement (Petrescu et al, 2018;Salehi-Esfahani and Ozturk, 2018).…”

Section: Manipulation and Reliability Of Online Reviewsmentioning

confidence: 99%

“…User-Generated Content (UGC) and Electronic Word-of-Mouth (eWOM) are essential tools for both consumers and companies today (Velicia-Martin et al, 2022). Consumers recur to eWOM to decide which products or services to buy (Pyle et al, 2021, Walther et al, 2023. Companies' marketers take advantage of UGC and eWOM not only to understand consumers' likes and dislikes but also to assess the progress of their actions (Antonio et al, 2018a;Chatterjee et al, 2021;Oliveira et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

“…However, there has been an increasing concern about the quality of online reviews, particularly with reliability, manipulation, spamming, and fake reviews published to influence the social reputation of goods and services (Walther et al, 2023;Antonio et al, 2018b;Banerjee and Chua, 2021;L. Chen et al, 2019;Díaz and Rodríguez, 2018; Cuadernos de Turismo, 52, (2023), 219-238 Filieri et al, 2015;Heydari et al, 2015;J.…”

Section: Introductionmentioning

confidence: 99%

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Understanding the Impacts and Motivations of Duplicate Reviews on Tripadvisor

António,

Correia,

Perdigão Ribeiro

2023

Cuad. Tur.

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TripAdvisor is a popular review platform, where users post reviews for the same place, including duplicate reviews. This duplication can skew research results and visitors' perceptions. To address this issue, we analyze TripAdvisor reviews in 3 languages from 20 attractions in 2 UNESCO heritage-listed cities. We identify 3 types of motivations for multiple reviews: hedonic, utilitarian, and publishing issues. Our study recommends that online review platforms implement strategies to mitigate this and advises researchers to on how to overcome duplicate reviews in their research. TripAdvisor es una plataforma de reseñas, donde los usuarios publican reseñas para el mismo lugar, incluidas las reseñas duplicadas. Esta duplicación puede sesgar los resultados de la investigación y las percepciones de los visitantes. Para abordar este problema, analizamos las reseñas de TripAdvisor en 3 idiomas de 20 atracciones en 2 ciudades declaradas Patrimonio de la Humanidad por la UNESCO. Identificamos 3 tipos de motivaciones para las revisiones múltiples: cuestiones hedónicas, utilitarias y editoriales. Nuestro estudio recomienda que las plataformas de revisión en línea implementen estrategias para mitigar esto y asesora a los investigadores sobre cómo superar las revisiones duplicadas en su investigación.

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Section: Manipulation and Reliability Of Online Reviewsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Understanding the Impacts and Motivations of Duplicate Reviews on Tripadvisor

António,

Correia,

Perdigão Ribeiro

2023

Cuad. Tur.

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“…Consumer research on negative associations that a third party propagates has used Festinger's cognitive dissonance theory (for a review, see Walther et al, 2023). The theory states that something that contradicts a cognitive state will cause dissonance, leading to either a change in behavior or a change in attitude.…”

Section: Introductionmentioning

confidence: 99%

“…Consumer research on negative associations that a third party propagates has used Festinger's cognitive dissonance theory (for a review, see Walther et al. , 2023).…”

Section: Introductionmentioning

confidence: 99%

“Contagious” brands: Are they safe from coronavirus?

Bigne,

Simonetti,

Shih

2023

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PurposeThis study aims to investigate how brand love and brand loyalty for three brands evolved during critical moments of the 2020 pandemic, and how they performed in the long run up to 2022.Design/methodology/approachAn online longitudinal study, including a survey and Twitter data for three brands: Corona Extra, with a direct semantic association with the word coronavirus; Virus Vodka, with an indirect association; Modelo Especial, with no association with the virus name but from the same company as Corona Extra.FindingsDespite external data indicating a harmful association between Corona Extra and coronavirus, this study's findings revealed that the brand maintained its brand love in the long run and increased brand loyalty during the critical moments of the pandemic. This study's data suggest that brand love and brand loyalty may be the underlying reasons for the increase in Corona Extra's brand equity during the pandemic.Originality/valueThe COVID-19 pandemic created a highly stressful situation for consumers and brands. Some brands' names had unfortunate semantic similarities with the virus terminology, which became an additional stressor during that time. This study harnessed the opportunity to investigate brand love and brand loyalty during the pandemic at four points in 2020 and one in 2022. The authors also examined relevant Twitter data during 2020.

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SUH-AIFRD: A self-training-based hybrid approach for individual fake reviewer detection

Mewada,

Dewang

2024

Multimed Tools Appl

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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?

Cited by 8 publications

References 82 publications

Understanding the Impacts and Motivations of Duplicate Reviews on Tripadvisor

Understanding the Impacts and Motivations of Duplicate Reviews on Tripadvisor

“Contagious” brands: Are they safe from coronavirus?

SUH-AIFRD: A self-training-based hybrid approach for individual fake reviewer detection

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