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?
Background: Consumers rely heavily on online user reviews when shopping online and cybercriminals produce fake reviews to manipulate consumer opinion. Much prior research focuses on the automated detection of these fake reviews, which are far from perfect. Therefore, consumers must be able to detect...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier
2023-05-01
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| Series: | Computers in Human Behavior Reports |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2451958823000118 |
| _version_ | 1827925651108134912 |
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| author | Michelle Walther Timo Jakobi Steven James Watson Gunnar Stevens |
| author_facet | Michelle Walther Timo Jakobi Steven James Watson Gunnar Stevens |
| author_sort | Michelle Walther |
| collection | DOAJ |
| description | Background: Consumers rely heavily on online user reviews when shopping online and cybercriminals produce fake reviews to manipulate consumer opinion. Much prior research focuses on the automated detection of these fake reviews, which are far from perfect. Therefore, consumers must be able to detect fake reviews on their own. In this study we survey the research examining how consumers detect fake reviews online. Methods: We conducted a systematic literature review over the research on fake review detection from the consumer-perspective. We included academic literature giving new empirical data. We provide a narrative synthesis comparing the theories, methods and outcomes used across studies to identify how consumers detect fake reviews online. Results: We found only 15 articles that met our inclusion criteria. We classify the most often used cues identified into five categories which were (1) review characteristics (2) textual characteristics (3) reviewer characteristics (4) seller characteristics and (5) characteristics of the platform where the review is displayed. Discussion: We find that theory is applied inconsistently across studies and that cues to deception are often identified in isolation without any unifying theoretical framework. Consequently, we discuss how such a theoretical framework could be developed. |
| first_indexed | 2024-03-13T05:28:03Z |
| format | Article |
| id | doaj.art-0569323b59864d53990b712d78b9b691 |
| institution | Directory Open Access Journal |
| issn | 2451-9588 |
| language | English |
| last_indexed | 2024-03-13T05:28:03Z |
| publishDate | 2023-05-01 |
| publisher | Elsevier |
| record_format | Article |
| series | Computers in Human Behavior Reports |
| spelling | doaj.art-0569323b59864d53990b712d78b9b6912023-06-15T04:56:42ZengElsevierComputers in Human Behavior Reports2451-95882023-05-0110100278A systematic literature review about the consumers’ side of fake review detection – Which cues do consumers use to determine the veracity of online user reviews?Michelle Walther0Timo Jakobi1Steven James Watson2Gunnar Stevens3Bonn-Rhein-Sieg University of Applied Sciences, Institute for Digital Consumption, Department Economic Sciences, Germany; Corresponding author. Institute for Digital Consumption, University of Applied Sciences Bonn-Rhein-Sieg, Grantham-Allee 20, 53757, Sankt Augustin, Germany.Bonn-Rhein-Sieg University of Applied Sciences, Institute for Digital Consumption, Department Economic Sciences, GermanyUniversity of Twente, Department of Psychology of Conflict, Risk, and Safety, The NetherlandsBonn-Rhein-Sieg University of Applied Sciences, Institute for Digital Consumption, Department Economic Sciences, GermanyBackground: Consumers rely heavily on online user reviews when shopping online and cybercriminals produce fake reviews to manipulate consumer opinion. Much prior research focuses on the automated detection of these fake reviews, which are far from perfect. Therefore, consumers must be able to detect fake reviews on their own. In this study we survey the research examining how consumers detect fake reviews online. Methods: We conducted a systematic literature review over the research on fake review detection from the consumer-perspective. We included academic literature giving new empirical data. We provide a narrative synthesis comparing the theories, methods and outcomes used across studies to identify how consumers detect fake reviews online. Results: We found only 15 articles that met our inclusion criteria. We classify the most often used cues identified into five categories which were (1) review characteristics (2) textual characteristics (3) reviewer characteristics (4) seller characteristics and (5) characteristics of the platform where the review is displayed. Discussion: We find that theory is applied inconsistently across studies and that cues to deception are often identified in isolation without any unifying theoretical framework. Consequently, we discuss how such a theoretical framework could be developed.http://www.sciencedirect.com/science/article/pii/S2451958823000118Fake review detectionFake review cuesUser-perspectiveReview scamOpinion scamHuman review fraud detection |
| spellingShingle | Michelle Walther Timo Jakobi Steven James Watson Gunnar Stevens 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? Computers in Human Behavior Reports Fake review detection Fake review cues User-perspective Review scam Opinion scam Human review fraud detection |
| title | 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? |
| title_full | 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? |
| title_fullStr | 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? |
| title_full_unstemmed | 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? |
| title_short | 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? |
| title_sort | systematic literature review about the consumers side of fake review detection which cues do consumers use to determine the veracity of online user reviews |
| topic | Fake review detection Fake review cues User-perspective Review scam Opinion scam Human review fraud detection |
| url | http://www.sciencedirect.com/science/article/pii/S2451958823000118 |
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