mlsanityData to 7 Oct 2026

Fact or Factitious? Contextualized Opinion Spam Detection

arXiv 2010.15296 ↗First posted 29 Oct 2020cs.AIcited by 6

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Abstract (arXiv)

In this paper we perform an analytic comparison of a number of techniques used to detect fake and deceptive online reviews. We apply a number machine learning approaches found to be effective, and introduce our own approach by fine-tuning state of the art contextualised embeddings. The results we obtain show the potential of contextualised embeddings for fake review detection, and lay the groundwork for future research in this area.

Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). First posted on arXiv 29 Oct 2020.

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Citing papers per year: 2021: 1; 2022: 2; 2023: 1; 2024: 0; 2025: 2.

6 papers.