TY - JOUR
T1 - Platform Policies and Quality Class
T2 - When are Hotels Prone to Rating Manipulation?
AU - Dery, Lihi
AU - Jelnov, Artyom
AU - Jelnov, Pavel
N1 - Publisher Copyright:
© 2013 IEEE.
PY - 2025
Y1 - 2025
N2 - Online platforms depend on trust and reputation, yet these are open to manipulation. This paper develops a game-theoretic model of rating manipulation that accounts for platform enforcement policies, market competition, and class differentiation among service providers. The model shows that stricter sanctions can paradoxically increase incentives to manipulate by reducing competition, while greater competition reduces manipulation. To illustrate the model’s applicability, we analyze hotel reviews from Bangkok collected from Agoda, where only verified customers can post reviews, and TripAdvisor, where reviews are open to all users. The empirical results confirm that lower-class hotels are more prone to manipulation than higher-class hotels, consistent with theoretical predictions. Together, the theoretical and empirical findings provide insights for the design of trust and reputation systems in online platforms, highlighting trade-offs between enforcement, competition, and the integrity of ratings.
AB - Online platforms depend on trust and reputation, yet these are open to manipulation. This paper develops a game-theoretic model of rating manipulation that accounts for platform enforcement policies, market competition, and class differentiation among service providers. The model shows that stricter sanctions can paradoxically increase incentives to manipulate by reducing competition, while greater competition reduces manipulation. To illustrate the model’s applicability, we analyze hotel reviews from Bangkok collected from Agoda, where only verified customers can post reviews, and TripAdvisor, where reviews are open to all users. The empirical results confirm that lower-class hotels are more prone to manipulation than higher-class hotels, consistent with theoretical predictions. Together, the theoretical and empirical findings provide insights for the design of trust and reputation systems in online platforms, highlighting trade-offs between enforcement, competition, and the integrity of ratings.
KW - Online platforms
KW - digital marketplaces
KW - game theory
KW - online reviews
KW - platform governance
KW - rating manipulation
KW - trust and reputation systems
UR - https://www.scopus.com/pages/publications/105023081691
U2 - 10.1109/ACCESS.2025.3637677
DO - 10.1109/ACCESS.2025.3637677
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AN - SCOPUS:105023081691
SN - 2169-3536
VL - 13
SP - 205593
EP - 205600
JO - IEEE Access
JF - IEEE Access
ER -