Results 271 to 280 of about 346,740 (322)

Detection of fake online hotel reviews

2017 12th International Conference for Internet Technology and Secured Transactions (ICITST), 2017
Individuals use online reviews to make decisions about available products and services. In recent years, businesses and the research community have shown a great amount of interest in the identification of fake online reviews. Applying accurate algorithms to detect fake online reviews can protect individuals from spam and misinformation.
Anna V. Sandifer, Casey Wilson, Aspen Olmsted   +2 more
openaire   +1 more source

A Conceptual Hybrid Model for Fake Review Detection Using Implicit ABSA and Imbalanced Data

IEEE Conference on Systems, Process and Control
Detecting fake reviews is crucial for maintaining trust on e-commerce platforms, protecting consumers from deception, and promoting fair competition. Sentiment Analysis (SA) is widely used to analyze the tone and sentiment of reviews.
Leena Ardini Abdul Rahim, K. A. F. A. Samah, Raihah Aminuddin   +2 more
semanticscholar   +1 more source

Fake Review Detection Using Extravagant Words: A Comparative Study of K-means, K-mode, and Hierarchical Classification

2024 International Conference on Electrical, Communication and Computer Engineering (ICECCE)
In the digital age, online reviews playa critical role in influencing consumer decisions and business reputations. How-ever, the prevalence of fake reviews undermines the credibility of online platforms.
Mohammed Ennaouri, Mohamed Raoui, A. Zellou, Moulay Hafid El Yazidi   +3 more
semanticscholar   +1 more source

Fake Review Detection

2022
Husk, Michael, Poursardar, Faryaneh
openaire   +1 more source

Review of Fake Product Review Detection Techniques

2022 Second International Conference on Artificial Intelligence and Smart Energy (ICAIS), 2022
B V Santhosh Krishna, Sanjeev Sharma, K Devika, Y Sahana, K N Sharanya, C Indraja   +5 more
openaire   +1 more source

Fake News Detection: A Review

Proceedings of the 3rd International Conference on ICT for Digital, Smart, and Sustainable Development, ICIDSSD 2022, 24-25 March 2022, New Delhi, India, 2023
Tabasum Majeed, Huma Farooq, Tabassum Jan, Aabidah Nazir   +3 more
openaire   +1 more source

A Deep Hybrid Model for fake review detection by jointly leveraging review text, overall ratings, and aspect ratings

Soft Computing - A Fusion of Foundations, Methodologies and Applications, 2023
R. Duma, Zhendong Niu, Ally S. Nyamawe, Jude Tchaye-Kondi, Abdulganiyu Abdu Yusuf   +4 more
semanticscholar   +1 more source

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

Journal of business research, 2023
Sami Ben Jabeur, Hossein Ballouk, Wissal Ben Arfi, J. Sahut   +3 more
semanticscholar   +1 more source

A Survey of Fake News

ACM Computing Surveys, 2021
Xinyi Zhou
exaly  

Fake review detection in e-Commerce platforms using aspect-based sentiment analysis

Journal of business research, 2023
P. Hájek, Lubica Hikkerova, J. Sahut
semanticscholar   +1 more source