Joint Sentiment Topic Model with Word Embeddings for Fake Review Detection

A systematic literature review about the consumers’ side of fake review detection – Which cues do consumers use to determine the veracity of online user reviews?

“…This search identified an additional six articles on fake review detection which have been omitted from the initial search, however none of them fit our inclusion criteria. Five of them discuss algorithmic ways to identify fake reviews online (Birim et al, 2022;Lee, Song, Li, Lee, & Yang, 2022;Salminen, Kandpal, Kamel, Jung, & Jansen, 2022;Shi et al, 2022;Tufail et al, 2022). The sixth recent study investigated the consequences of perceived credibility of exaggerated positive online consumer reviews (Román et al, 2023).…”