作者：Mousavi, Reza; Raghu, T. S.; Frey, Keith
作者单位：University of Virginia; Arizona State University; Arizona State University-Tempe; Adventist Health Services; AdventHealth; CommonSpirit
摘要：Quality of answers in health-related community-based question answering (HCQA) forums has been a concern for both users and forum administrators. We conducted a two-phase study to better understand the quality of answers in HCQA forums. First, we employed machine learning to examine the quality of health content. We validated our algorithmic quality ratings by comparing them with those of two physicians. Second, using data from Yahoo! Answers Health section, we examined the effect of the quali...
