TY - CHAP AB - Patients 2.0 increasingly inform themselves about the quality of medical services on physician rating websites. However, little is known about whether the reviews and ratings on these websites truly reflect the quality of services or whether the ratings on these websites are rather influenced by patients’ individual rating behavior. Therefore, we investigate more than 790,000 physician reviews on Germany’s most used physician rating website jameda.de. Our results show that patients’ ratings do not only reflect treatment quality but are also influenced by treatment quality independent factors like age and complaint behavior. Hence, we provide evidence that users should be well aware of user specific rating distortions when intending to make their physician choice based on these ratings. AU - Geierhos, Michaela AU - Bäumer, Frederik Simon AU - Schulze, Sabine AU - Klotz, Caterina ED - Christiansen, Henning ED - Stojanovic, Isidora ED - Papadopoulos, George A. ID - 1150 KW - Health 2.0 KW - Rating Behavior KW - Patient Opinion Mining on Physician Rating Websites SN - 9783319255903 T2 - Modeling and Using Context. 9th International and Interdisciplinary Conference, CONTEXT 2015, Lanarca, Cyprus, November 2-6, 2015. Proceedings TI - Understanding the Patient 2.0: Gaining Insight into Patients' Rating Behavior by User-generated Physician Review Mining VL - 9405 ER -