Since the fake clicks can only be programmed and automated, ad networks turned to behavioral analytics for defense. When the ...

AI tools are exposing hidden truths in art history, analyzing brushstrokes to reveal who really painted the world’s ...

AI is the broad goal of creating intelligent systems, no matter what technique is used. In comparison, Machine Learning is a specific technique to train intelligent systems by teaching models to learn ...

I suspect a competitor is posting negative reviews about my store on Google reviews. What should I do? You can flag and report suspicious reviews directly via your Google Business Profile dashboard.

Online shopping has become second nature for most of us, but with it comes a growing problem that affects millions of purchasing decisions every day. Research suggests that roughly 31% of reviews ...

The rapid growth of social media has resulted in an explosion of online news content, leading to a significant increase in the spread of misleading or false information. While machine learning ...

1 Department of Computer Science, College of Computing and Information Technology, Shaqra University, Shaqra, Saudi Arabia 2 InnoV'COM Laboratory-Sup'Com, University of Carthage, Ariana, Tunisia ...

A Project about Predicting the Number of Fake Reviews with Grades of an e-commerce website called Amazon using Machine Learning Models like Bert & XLnet.

Detects fake product reviews using supervised ML algorithms like SVM, Random Forest, and XGBoost. Uses NLP techniques (tokenization, lemmatization, TF-IDF) for preprocessing. SVM achieved the highest ...

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Fake reviews can seem like a nuisance at first. A one-star here, a suspicious five-star there. However, the individual rating is not the true cost of fraudulent reviews. Long-term effects of the ...