Ensemble learning approach for distinguishing human and computer-generated Arabic reviews.

ABSTRACT: While customer reviews are crucial for businesses to maintain their standing in the marketplace, some may employ humans to create favorable reviews for their benefit. However, advances in artificial intelligence have made it less complex to create these reviews, which now rival real ones written by humans. This poses a significant challenge in distinguishing between genuine and artificially generated reviews, thereby impacting consumer trust and decision-making processes. Research has been conducted to classify whether English reviews were authored by humans or computers. However, there is a notable scarcity of similar studies conducted in Arabic. Moreover, the potential of ensemble learning (EL) techniques, such as soft voting, to enhance model performance remains underexplored. This stud

SUBMITTER: Alhayan F 

PROVIDER: S-EPMC11623131 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature