4.6 Article

Detecting Fake Reviews in Google Maps-A Case Study

Related references

Note: Only part of the references are listed.
Article Business

Creating and detecting fake reviews of online products

Joni Salminen et al.

Summary: The study found that machines are more suitable for detecting fake reviews than humans, as machine classifiers can almost perfectly accomplish this task. The detection of fake reviews has important implications for consumer protection, competition defense for firms, and the responsibility of review platforms.

JOURNAL OF RETAILING AND CONSUMER SERVICES (2022)

Review Computer Science, Artificial Intelligence

Fake consumer review detection using deep neural networks integrating word embeddings and emotion mining

Petr Hajek et al.

NEURAL COMPUTING & APPLICATIONS (2020)

Review Computer Science, Information Systems

Fake Review Detection Based on Multiple Feature Fusion and Rolling Collaborative Training

Jingdong Wang et al.

IEEE ACCESS (2020)

Article Computer Science, Information Systems

A framework for fake review detection in online consumer electronics retailers

Rodrigo Barbado et al.

INFORMATION PROCESSING & MANAGEMENT (2019)

Article Computer Science, Information Systems

A survey on fake news and rumour detection techniques

Alessandro Bondielli et al.

INFORMATION SCIENCES (2019)

Proceedings Paper Computer Science, Theory & Methods

Detecting Singleton Review Spammers Using Semantic Similarity

Vlad Sandulescu et al.

WWW'15 COMPANION: PROCEEDINGS OF THE 24TH INTERNATIONAL CONFERENCE ON WORLD WIDE WEB (2015)