Fake online reviews: Literature review, synthesis, and directions for future research

Y Wu, EWT Ngai, P Wu, C Wu - Decision Support Systems, 2020 - Elsevier
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 …

The classification of online consumer reviews: A systematic literature review and integrative framework

L Zheng - Journal of Business Research, 2021 - Elsevier
The objective of this paper is to conduct a systematic review of the literature on online
consumer reviews (OCRs) in order to provide understanding of the multi-featured nature and …

Artificial intelligence for hospitality big data analytics: develo** a prediction model of restaurant review helpfulness for customer decision-making

M Lee, W Kwon, KJ Back - International Journal of Contemporary …, 2021 - emerald.com
Purpose Big data analytics allows researchers and industry practitioners to extract hidden
patterns or discover new information and knowledge from big data. Although artificial …

An empirical investigation of online review helpfulness: A big data perspective

HS Choi, S Leon - Decision Support Systems, 2020 - Elsevier
This study investigates the determinants of online review helpfulness, adopting various
predictors from three dimensions of the online review management: source factors, review …

Factors influencing fake news rebuttal acceptance during the COVID-19 pandemic and the moderating effect of cognitive ability

X Wang, F Chao, G Yu, K Zhang - Computers in human behavior, 2022 - Elsevier
Fake news is spreading rapidly on social media and poses a serious threat to the COVID-19
outbreak response. This study thus aims to reveal the factors influencing the acceptance of …

[HTML][HTML] A big data exploration of the informational and normative influences on the helpfulness of online restaurant reviews

S Meek, V Wilk, C Lambert - Journal of business research, 2021 - Elsevier
With the proliferation of user generated online reviews, uncovering helpful restaurant
reviews is increasingly challenging for potential consumers. Heuristics (such as “Likes”) not …

Why retail investors traded equity during the pandemic? An application of artificial neural networks to examine behavioral biases

S Talwar, M Talwar, V Tarjanne… - Psychology & …, 2021 - Wiley Online Library
Behavioral biases are known to influence the investment decisions of retail investors.
Indeed, extant research has revealed interesting findings in this regard. However, the …

The effect of review content richness on product review helpfulness: The moderating role of rating inconsistency

Y Wang, EWT Ngai, K Li - Electronic Commerce Research and Applications, 2023 - Elsevier
Many consumers provide lengthy but minimal informative reviews just to meet the word
count requirement in e-commerce platforms. Not only do these non-informative reviews not …

[HTML][HTML] Fake or credible? Antecedents and consequences of perceived credibility in exaggerated online reviews

S Román, IP Riquelme, D Iacobucci - Journal of Business Research, 2023 - Elsevier
This research examined several antecedents (consumers' brand identification and
skepticism) and consequences (brand reputation, purchase intentions and trust of the review …

Suspicion of online product reviews as fake: Cues and consequences

LJ Harrison-Walker, Y Jiang - Journal of Business Research, 2023 - Elsevier
Consumers rely on online reviews because they deem information from a third party to be
more credible than promotional communications. Unfortunately, not all online reviews are …