ABSTRACT 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 quality of the first answer on the quality of the subsequent answers. Our results suggest that the quality of the subsequent answers is impacted by the quality of the first displayed answer. We further show that the impact of the first displayed answer is larger when the answerers are more familiar with the forum but smaller when the forum provides tips for answering questions. Our study helps HCQA forums to improve the overall quality of answers by 1- creating an algorithmic solution that reliably measures the quality of answers, and 2- adjusting the order of existing answers to encourage higher quality subsequent answers. Our findings also extend the applicability of the order effect to online forums and provide evidence that experienced users would be more influenced by the order effect in such forums.

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利用人工智能提高在线问答健康论坛的回答质量

摘要 健康相关社区问答 (HCQA) 论坛的回答质量一直是用户和论坛管理员关注的问题。我们进行了一个两阶段的研究，以更好地了解 HCQA 论坛中的答案质量。首先，我们使用机器学习来检查健康内容的质量。我们通过将算法质量评级与两位医生的评级进行比较来验证我们的算法质量评级。其次，使用来自雅虎的数据！答案健康部分，我们检查了第一个答案的质量对后续答案的质量的影响。我们的结果表明，后续答案的质量受到第一个显示答案的质量的影响。我们进一步表明，当回答者对论坛更熟悉时，第一个显示答案的影响更大，但当论坛提供回答问题的提示时，则影响更小。我们的研究帮助 HCQA 论坛通过 1- 创建一个算法解决方案来可靠地测量答案质量，以及 2- 调整现有答案的顺序以鼓励更高质量的后续答案，从而提高答案的整体质量。我们的研究结果还扩展了订单效应对在线论坛的适用性，并提供了证据表明有经验的用户会更多地受到此类论坛订单效应的影响。2- 调整现有答案的顺序以鼓励更高质量的后续答案。我们的研究结果还扩展了订单效应对在线论坛的适用性，并提供了证据表明有经验的用户会更多地受到此类论坛订单效应的影响。2- 调整现有答案的顺序以鼓励更高质量的后续答案。我们的研究结果还扩展了订单效应对在线论坛的适用性，并提供了证据表明有经验的用户会更多地受到此类论坛订单效应的影响。