Fake review detection on online E-commerce platforms: a systematic literature review
| Autor: | Himangshu Paul, Alexander G. Nikolaev |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Service (systems architecture)
Computer Networks and Communications business.industry Internet privacy 02 engineering and technology Competitor analysis E-commerce Service provider Popularity Computer Science Applications Spamming Product (business) Systematic review 020204 information systems 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Business Information Systems |
| Zdroj: | Data Mining and Knowledge Discovery. 35:1830-1881 |
| ISSN: | 1573-756X 1384-5810 |
| DOI: | 10.1007/s10618-021-00772-6 |
| Popis: | The increasing popularity of online review systems motivates malevolent intent in competing sellers and service providers to manipulate consumers by fabricating product/service reviews. Immoral actors use Sybil accounts, bot farms, and purchase authentic accounts to promote products and vilify competitors. Facing the continuous advancement of review spamming techniques, the research community should step back, assess the approaches explored to date to combat fake reviews, and regroup to define new ones. This paper reviews the literature on Fake Review Detection (FRD) on online platforms. It covers both basic research and commercial solutions, and discusses the reasons behind the limited level of success that the current approaches and regulations have had in preventing damage due to deceptive reviews. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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