Category Archives: online reviews

Call for papers on AI-enabled accommodation platforms and destination governance

šŸ“£[Call for papers] on AI-enabled accommodation platforms and destination governance!

Accommodation platforms may no longer be simply considered as places where travellers book a room, bearing in mind that algorithms rank properties; AI recommends destinations; dynamic pricing affects perceived value; reviews and generated content influence destination images; AND platforms redirect tourist flows across cities and neighbourhoods.

I am pleased to invite submissions to our Special Issue in the Journal of Destination Marketing & Management [CS 13.5; IF 8]:

ā€œDigital Transformation and AI-Enabled Accommodation Platforms: Implications for Destination Marketing, Governance and Developmentā€.

My colleagues and I welcome theoretically grounded, empirically robust research that examines how AI, algorithms and accommodation platforms are reconfiguring destination ecosystems.

šŸ”Ž Plausible research areas include:
• Generative AI and destination marketing
• AI-powered recommendation systems
• Algorithmic visibility and destination branding
• Dynamic pricing and demand forecasting
• Reviews, ratings and AI-generated content
• Hotels versus P2P accommodation platforms
• Overtourism, undertourism and spatial redistribution
• Platform power, regulation and destination governance
• Sustainable and inclusive destination development

šŸ’” Here are a few questions worth investigating:
šŸ”“ What if AI decides which destinations tourists see and visit?
šŸ”“ Who controls destination visibility in the age of AI?
šŸ”“ Who shapes a destination’s image today: marketers, travellers or algorithms?
šŸ”“ Could algorithms determine which destinations become more competitive?
šŸ”“ When AI recommends where to stay, does it also influence where we travel?
šŸ”“ Are booking platforms just selling rooms, or are they transforming destinations?
šŸ”“ What happens to destination governance when platforms manage data and direct tourist demand?

šŸ“… Submissions open: 1 October 2026
ā³ Deadline: 31st August 2028

We particularly encourage mixed-method, longitudinal and multi-level empirical research.

šŸ‘‰ Full call for papers: https://lnkd.in/eUx7v85Z

šŸ” Please share this call with colleagues working at the intersection of AI, tourism, hospitality, digital platforms and destination management.

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Filed under academia, Agentic AI, AI, Analytics, artificial intelligence, Big Data, consumer brand identification, consumer experience, Consumer reviews, CX, destination marketing, digital, digital media, digital transformation, Generative AI, Hospitality, internet technologies, Marketing, online, online reviews, sharing economy

Exaggerated statements in online consumer reviews: Causes and implications

Featuring snippets from an article that was accepted for publication through Springer’s “Service Business”.

Suggested citation: Camilleri, M.A., Bhatnagar, S.B. & Chakraborty, D. (2025). Exaggerated statements in online consumer reviews: Causes and implications. Service Business, 19, Art. 19, https://doi.org/10.1007/s11628-025-00590-6

Abstract

This study investigates the factors that contribute to the creation of inflated consumer testimonials. Quantitative data were gathered from four hundred forty (440) respondents who shared their service experiences through popular social media platforms. A covariance-based structural equations model approach has been used to analyze the data. The results suggest that psychological and emotional factors including the consumers’ self-image, self-enhancement as well as their motivations for retribution against service providers, are having a significant effect on the development of amplified review content.

Keywords: Consumer reviews, Constructive reviews, Altruistic reviews, Overblown reviews; tourism and hospitality.

1 Introduction

Researchers have frequently reported that certain individuals tend to misrepresent facts and may willingly decide to deceive other persons, in their daily conversations, including in virtual ones (Moqbel and Jain 2025; Sahut et al. 2024). It is very likely that such persons would fabricate content when they engage in online conversations (Plotkina et al. 2020) and may even create inflated claims in their user generated content, while sharing personal experiences with online users (Belarmino et al. 2022; Bozkurt et al. 2023). Electronic word of mouth communications, like online reviews, are not always truthful (Camilleri, 2022; Kapoor et al. 2021; Lee et al. 2022; Tomazelli et al. 2024), as they may frequently feature inflated claims (RomƔn et al. 2023). A few researchers have even suggested that exaggerated reviews can have an adverse effect on their credibility (Chatterjee et al. 2023).

A lack of credibility and trustworthiness in online reviews could negatively affect the consumers’ perceptions and attitudes toward the business (Camilleri and Filieri 2023; Tan and Chen 2023). For instance, Fong et al. (2024) distinguished between trustworthy and untrustworthy content presented in online consumer testimonials. Yet, for the time being, there is still scarce research focused on the propagation of inflated claims in online reviews (Arif and Chandwani 2024). Various researchers have often attempted to find ways to detect misinformation and prefabricated online content including in social media and review platforms (Chen et al. 2022).

However, in many cases, it proves difficult to recognize the identities of those reviewers who are sharing overblown and deceitful statements about their experiences in online platforms (Bylok 2022). Notwithstanding, there may be different reasons why individuals engage in deceptive behaviors. People may decide to deceive others for personal gain, and/or to protect their own image or reputation. Their intention could be to manipulate others to achieve desired outcomes (Min and Wakslak 2022). Alternatively, they may rationalize their deceitful behaviors due to psychological factors. Such individuals would probably convince themselves that their actions are justified or harmless (Costa Filho et al. 2023; Petrescu et al. 2022).

Undoubtedly, the topic about deceitful, unreliable and inflated online reviews warrants further investigation, as these electronic word-of-mouth communications may constitute false advertising or fraud. Prospective consumers can be manipulated and misled into buying substandard or misrepresented products/services. For example, the use of generative AI could exacerbate the pervasiveness of fake inflated review content with high linguistic sophistication. Hence, it may prove hard for online users to detect the legitimacy and veracity of consumer reviews. Certainly, further investigation is warranted on this topic, to better understand the incidence and the scale of the exaggerated claims featured in user-generated content, their underlying motivations and drivers, as well as the identification of technological and regulatory responses.

In this light, this research identifies the factors and the extent to which online users share overstatements and amplified assertions in consumer review platforms. Specifically, the underlying research questions are: [RQ1] How and to what extent are the consumers’ altruistic intentions to provide customer-focused reviews contributing to the development of exaggerated claims in their testimonials? [RQ2] How and to what extent are the consumers’ constructive reviews aimed at service providers having an effect on the development of exaggerated claims in their testimonials? [RQ3] How and to what extent are the consumers’ psychological factors including their self-esteem and self-image having an effect on the development of exaggerated claims in their testimonials? [RQ4] How and to what extent are the consumers’ dissatisfaction levels with the services they receive and their retribution motivations having an effect on the development of exaggerated claims in their testimonials?

This empirical study builds on extant theoretical underpinnings related to the interpersonal deception theory (Buller and Burgoon 1996; Buller et al. 1996; Burgoon 2015; Gaspar et al. 2022) to delve into the factors that can lead consumers to create inflated claims in online reviews (Hill Cummings et al. 2024; Valdez et al. 2018). The researchers validate constructs that were tried and tested in academia including altruistic motivations to support prospects and/or businesses (Hennig-Thurau et al. 2004; Yoo and Gretzel 2008), perceived self-enhancement, perceived self-image and retribution behaviors (Yoo and Gretzel 2008).

Unlike previous studies, that focus on how reviews could influence purchase decisions, or those that investigate the rationale for sharing reviews, this contribution examines the processes and motivations that lead to the articulation of exaggerated claims in testimonials (that can be either positive or negative). From the outset, this original research rejects the dominant assumption that inflated reviews are simply driven by the consumers’ egos, or from their malicious intentions. On the contrary, it suggests that altruistic appraisals that are meant to support prospective customers, constructive criticism to service providers or feedback motivated by retributive intentions, after experiencing service failures, and/or the integration of psychological self-concepts could amplify or trigger exaggerated claims in consumer reviews. As far as the authors are aware, for the time being, there are no other studies that have integrated the above factors in the same conceptual model by referring to the interpersonal deception theory as an exploratory lens. Therefore, this contribution aims to address this knowledge gap, in the tourism and hospitality industry context. The study advances a novel theoretical model that is empirically tested, in terms of the constructs’ reliabilities and validities. Moreover, it also sheds light on the significance of the causal paths that predict the consumers’ likelihood of creating exaggerated content in review platforms.

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