Been There, Done That
How Episodic and Semantic Memory Affects the Language of Authentic and Fictitious Reviews
Bibliographic Data
| ID | 11624379 |
|---|---|
| Authors | Ann Kronrod (0000-0003-1289-9861, corresponding author), Ivan Gordeliy (0000-0002-5879-6668), Jeffrey K Lee (0000-0001-7404-4274) |
| Editors | J Jeffrey Inman (0000-0003-0410-2242), Andrew T Stephen |
| Year | 2022 |
| Volume | 50 |
| Issue | 2 |
| Pages | 405-425 |
| Publication date | 2022-12-02 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Consumer Research (JOURNAL) |
| Journal identifiers | ISSN: 0093-5301 • E-ISSN: 1537-5277 |
| Publisher | Oxford University Press (OUP) (PUBLISHER) |
| DOI | 10.1093/jcr/ucac056 |
| OpenAlex | W4311623725 |
| Language | EN |
| Citations received | 4 |
| References cited | 102 |
This article suggests a theory-driven approach to address the managerial problem of distinguishing between real and fake reviews. Building on memory research and linguistics, we predict that when recollecting an authentic experience in a product review, people rely to a greater extent on episodic memory. By contrast, when writing a fictitious review, people do not have episodic memory available to them. Therefore, they must rely to a greater extent on semantic memory. We suggest that reliance on these different memory types is reflected in the language used in authentic and fictitious reviews. We develop predictions about five linguistic features characterizing authentic versus fictitious reviews. We test our predictions via a multi-method approach, combining computational linguistics, experimental design, and machine learning. We employ a large-scale experiment to derive a dataset of reviews, as well as two datasets containing reviews from online platforms. We also test whether an algorithm relying on our theory-driven linguistic features is context independent, relative to other benchmark algorithms, and shows better cross-domain performance when tested across datasets. By developing a theory that extends memory and psycholinguistics research to the realm of word of mouth, this work contributes to our understanding of how authentic and fictitious reviews are created
Cognition · Cognitive psychology · Cognitive science · Context (archaeology · Episodic memory · Linguistics · Natural language processing · Psycholinguistics · Realm · Semantic memory · Test (biology · Artificial Intelligence · Computer Science · Deception detection and forensic psychology · Misinformation and Its Impacts · Psychology · Topic Modeling
WordNet
What to Do on Spring Break?
Fake It Till You Make It
Remembering and knowing
Availability versus accessibility of information in memory for words
Episodic-like memory during cache recovery by scrub jays
Episodic Memory
Self-Selection and Information Role of Online Product Reviews
Episodic Memory and Autonoesis
Judgments of and by representativeness
Deception in Mobile Dating Conversations
Automatic deception detection
How Semantic and Episodic Memory Contribute to Autobiographical Memory. Commentary on Burt
Wii Will Rock You!” The Use and Effect of Figurative Language in Consumer Reviews of Hedonic and Utilitarian Consumption
How many memory systems are there
The Paradox of Abstraction
Cues to deception
Predicting Veracity From Linguistic Indicators
The Dynamic Nature of Deceptive Verbal Communication
Computational Grounded Theory
Role of Relationship Norms in Processing Brand Information
| Unique citing works | 4 |
|---|---|
| Citations per year | 4 |
| Citation span | 2025 - 2026 (2) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 4 |