[HTML][HTML] Cyber risk and cybersecurity: a systematic review of data availability

F Cremer, B Sheehan, M Fortmann, AN Kia… - The Geneva papers …, 2022 - ncbi.nlm.nih.gov
Cybercrime is estimated to have cost the global economy just under USD 1 trillion in 2020,
indicating an increase of more than 50% since 2018. With the average cyber insurance …

Fake review detection on online E-commerce platforms: a systematic literature review

H Paul, A Nikolaev - Data Mining and Knowledge Discovery, 2021 - Springer
The increasing popularity of online review systems motivates malevolent intent in competing
sellers and service providers to manipulate consumers by fabricating product/service …

Collective opinion spam detection: Bridging review networks and metadata

S Rayana, L Akoglu - Proceedings of the 21th acm sigkdd international …, 2015 - dl.acm.org
Online reviews capture the testimonials of" real" people and help shape the decisions of
other consumers. Due to the financial gains associated with positive reviews, however …

Artificial intelligence applications in fake review detection: Bibliometric analysis and future avenues for research

SB Jabeur, H Ballouk, WB Arfi, JM Sahut - Journal of Business Research, 2023 - Elsevier
Artificial intelligence (AI) and machine learning (ML) are emergent tools for fake review
detection. This study provides a comprehensive overview of AI applications in fake review …

Bimodal distribution and co-bursting in review spam detection

H Li, G Fei, S Wang, B Liu, W Shao… - Proceedings of the 26th …, 2017 - dl.acm.org
Online reviews play a crucial role in hel** consumers evaluate and compare products and
services. This critical importance of reviews also incentivizes fraudsters (or spammers) to …

Discovering opinion spammer groups by network footprints

J Ye, L Akoglu - Machine Learning and Knowledge Discovery in …, 2015 - Springer
Online reviews are an important source for consumers to evaluate products/services on the
Internet (eg Amazon, Yelp, etc.). However, more and more fraudulent reviewers write fake …

Spam review detection techniques: A systematic literature review

N Hussain, H Turab Mirza, G Rasool, I Hussain… - Applied Sciences, 2019 - mdpi.com
Online reviews about the purchase of products or services provided have become the main
source of users' opinions. In order to gain profit or fame, usually spam reviews are written to …

Detecting fake reviewers from the social context with a graph neural network method

LC Cheng, YT Wu, CT Chao, JH Wang - Decision Support Systems, 2024 - Elsevier
With the development of mobile Web technologies, people can easily seek advice from
social media before making purchases or decisions. Some companies employ expert writers …

Graph-based review spammer group detection

Z Wang, S Gu, X Zhao, X Xu - Knowledge and Information Systems, 2018 - Springer
Online product reviews nowadays are increasingly prevalent in E-commerce websites.
People often refer to product reviews to evaluate the quality of a product before purchasing …

Opinion spam detection by incorporating multimodal embedded representation into a probabilistic review graph

Y Liu, B Pang, X Wang - Neurocomputing, 2019 - Elsevier
Spam reviews typically appear perfectly normal until examined in a large context. The
standard approach to classifying reviews independently ignores these relations. In this …