Fake reviews detection: A survey

R Mohawesh, S Xu, SN Tran, R Ollington… - Ieee …, 2021 - ieeexplore.ieee.org
In e-commerce, user reviews can play a significant role in determining the revenue of an
organisation. Online users rely on reviews before making decisions about any product and …

Gltr: Statistical detection and visualization of generated text

S Gehrmann, H Strobelt, AM Rush - arxiv preprint arxiv:1906.04043, 2019 - arxiv.org
The rapid improvement of language models has raised the specter of abuse of text
generation systems. This progress motivates the development of simple methods for …

A framework for fake review detection in online consumer electronics retailers

R Barbado, O Araque, CA Iglesias - Information Processing & Management, 2019 - Elsevier
The impact of online reviews on businesses has grown significantly during last years, being
crucial to determine business success in a wide array of sectors, ranging from restaurants …

[PDF][PDF] The social impact of natural language processing

D Hovy, SL Spruit - Proceedings of the 54th Annual Meeting of the …, 2016 - aclanthology.org
Medical sciences have long since established an ethics code for experiments, to minimize
the risk of harm to subjects. Natural language processing (NLP) used to involve mostly …

Turingbench: A benchmark environment for turing test in the age of neural text generation

A Uchendu, Z Ma, T Le, R Zhang, D Lee - arxiv preprint arxiv:2109.13296, 2021 - arxiv.org
Recent progress in generative language models has enabled machines to generate
astonishingly realistic texts. While there are many legitimate applications of such models …

A comprehensive survey of various methods in opinion spam detection

A Mewada, RK Dewang - Multimedia Tools and Applications, 2023 - Springer
With the development of technology, e-marketing and business competition, reviews
significantly affect people's lives. Consumers of e-commerce sites share their experiences …

Learning to detect deceptive opinion spam: A survey

Y Ren, D Ji - IEEE Access, 2019 - ieeexplore.ieee.org
With the development of e-commerce, more and more users begin to post reviews or
comments about the quality of products on the internet. Meanwhile, people usually read …

Handling cold-start problem in review spam detection by jointly embedding texts and behaviors

X Wang, K Liu, J Zhao - Proceedings of the 55th Annual Meeting …, 2017 - aclanthology.org
Solving cold-start problem in review spam detection is an urgent and significant task. It can
help the on-line review websites to relieve the damage of spammers in time, but has never …

Generating behavior features for cold-start spam review detection with adversarial learning

X Tang, T Qian, Z You - Information Sciences, 2020 - Elsevier
Due to the wide applications, spam detection has long been a hot research topic in both
academia and industry. Existing studies show that behavior features are effective in …

Verbal lie detection using large language models

R Loconte, R Russo, P Capuozzo, P Pietrini… - Scientific reports, 2023 - nature.com
Human accuracy in detecting deception with intuitive judgments has been proven to not go
above the chance level. Therefore, several automatized verbal lie detection techniques …