Promotional Reviews
An Empirical Investigation of Online Review Manipulation
Bibliographic Data
| ID | 19600730 |
|---|---|
| Authors | Dina Mayzlin (0000-0003-1277-3994, University of Southern California), Yaniv Dover (0000-0002-9471-4746, Tuck School of Business at Dartmouth, 100 Tuck Hall, Hanover, NH 03755 (e-mail: )), Judith A Chevalier (0000-0001-6645-2059, Yale University), Judith Chevalier (Yale School of Management) |
| Year | 2014 |
| Volume | 104 |
| Issue | 8 |
| Pages | 2421-2455 |
| Publication date | 2014-08-01 |
| Peer Reviewed | Yes |
| Open Access | No |
| Type | ARTICLE |
| Venue | American Economic Review (JOURNAL) |
| Journal identifiers | ISSN: 0002-8282 • E-ISSN: 1944-7981 |
| Publisher | American Economic Association (PUBLISHER • US) |
| DOI | 10.1257/aer.104.8.2421 |
| OpenAlex | W3122952517 |
| Language | EN |
| Citations received | 59 |
| References cited | 36 |
Firms' incentives to manufacture biased user reviews impede review usefulness. We examine the differences in reviews for a given hotel between two sites: Expedia.com (only a customer can post a review) and TripAdvisor.com (anyone can post). We argue that the net gains from promotional reviewing are highest for independent hotels with single-unit owners and lowest for branded chain hotels with multiunit owners. We demonstrate that the hotel neighbors of hotels with a high incentive to fake have more negative reviews on TripAdvisor relative to Expedia; hotels with a high incentive to fake have more positive reviews on TripAdvisor relative to Expedia. (JEL L15, L83, M31)
Advertising · Business · Economics · Empirical evidence · Incentive · Microeconomics · Unit (ring theory) · Auction Theory and Applications · Consumer Market Behavior and Pricing · Digital Marketing and Social Media · Marketing · Psychology
Are Critics More Credible? When Positivity Is Expected, Negative Reviewers Are Perceived to Be Less Credible
Misinterpreting Others and the Fragility of Social Learning
The Effect of Electronic Word of Mouth on Sales
If nearly all Airbnb reviews are positive, does that make them meaningless?
Fake It Till You Make It
Reputation and Feedback Systems in Online Platform Markets
Fake Reviews
Norm Enforcement in Markets
Digital Economics
Misinterpreting Others and the Fragility of Social Learning
How Endogenous Crowd Formation Undermines the Wisdom of the Crowd in Online Ratings
The devil is in the details! Effect of differentiated platform governance on online review manipulation
What makes deceptive online reviews? A linguistic analysis perspective
Identifying Always-the-Same-Rating Reviewers on Amazon.Com Using Big Data Analytics
Employee satisfaction during the pandemic in the tourism and hospitality industries
Fighting fake reviews with blockchain-enabled consumer-generated reviews
Whether and how free virtual tours can bring back visitors
The effect of anger on online review helpfulness
The exhaustion of the herding effect in peer-to-peer accommodation
Using big data to measure cultural tourism in Europe
Mini-chains within chains
Investment and depreciation tax shield under spatial competition
Understanding the online restaurant rating bias induced by air pollution and the underlying spatial and temporal effects
Impact of product customization level on consumer's word-of-mouth behaviors and contents
The economics of platform liability
Influence of online comments on smokers’ E-cigarette attitude
What’s the Inside Scoop? Challenges in the Supply and Demand for Information on Employers
Governments manipulate official Statistics
Fake online reviews
Decoding LLMs' verbal deception in online reviews
Innovation Analytics and Digital Innovation Experimentation
Do submission devices influence online review ratings differently across different types of platforms? A big data analysis
Investigating reviewers' intentions to post fake vs. authentic reviews based on behavioral linguistic features
The Impact of Mandated Pay Gap Transparency on Firms’ Reputations as Employers
Deepfake consumer reviews in tourism
The impact of online platform transparency of information on consumers’ choices
Feeling ‘like part of the action’
Fake News in Tourism
Regulation and governance of the sharing economy by U.S. local governments
The conditioning function of rating mechanisms for consumers in the sharing economy
The illusion of trust and the paradox of disclosure
A machine learning approach for the identification of the deceptive reviews in the hospitality sector using unique attributes and sentiment orientation
Tourism demand forecasting using tourist-generated online review data
To be similar or to be different? The effect of hotel managers’ rote response on subsequent reviews
Dark personalities and online reviews
Comparative clustering of destination attractions for different origin markets with network and spatial analyses of online reviews
Strategic Perspectives in Destination Marketing
Cultural Evolution in the Digital Age
Prospects and challenges of sharing economy for the public sector
Promotional Reviews
Research on user-generated photos in tourism and hospitality
Top Rated or Best Seller? Cultural Differences in Responses to Attitudinal versus Behavioral Consensus Cues
Quality Certifications Influence User-Generated Ratings
Advertising and Content Differentiation
Incumbency Dominance in Letters to the Editor
Navigating by the Stars
Impact of personal information and reputation system on gig workers’ employment status
Economists (and Economics) in Tech Companies
Seeing Stars
Bayesian Persuasion
Strategic Information Transmission
Rotten Apples
Self-Selection and Information Role of Online Product Reviews
The Effects of Online User Reviews on Movie Box Office Performance
The influence of user-generated content on traveler behavior
Promotional Reviews
Reconfiguring relations of accountability
Tried and tested
Learning from the Crowd
Selection on Observed and Unobserved Variables
Advertising as a Signal
Price and Advertising Signals of Product Quality
Advertising as Information
| Unique citing works | 59 |
|---|---|
| Citations per year | 4,92 |
| Citation span | 2014 - 2026 (13) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 58 |