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Questioner or question: Predicting the response rate in social question and answering on Sina Weibo

机译：发问者或问题：在新浪微博上预测社交问题的回答率

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摘要

With the noted popularity of social networking sites, people increasingly rely on these social networks to address their information needs. Although social question and answering is potentially an important venue seeking information online, it, unfortunately, suffers from a problem of low response rate, with the majority of questions receiving no response. To understand why the response rate of social question and answering is low and hopefully to increase it in the future, this research analyzes extrinsic factors that may influence the response probability of questions posted on Sina Weibo. We propose 17 influential factors from 2 different perspectives: the content of the question, and the characteristics of the questioner. We also train a prediction model to forecast a question's likelihood of being responded based on the proposed features We test our predictive model on more than 60,000 real-world questions posted on Weibo, which generate more than 600,000 responses. Findings show that a Weibo's question answerability is primarily contingent on thequestionerversus thequestion. Our findings indicate that using appreciation emojis can increase a question's response probability, whereas the use of hashtags negatively influences the chances of receiving answers. Our contribution is in providing insights for the design and development of future social question and answering tools, as well as for enhancing social network users’ collaboration in supporting social information seeking activities.
机译：随着社交网站的流行，人们越来越依赖这些社交网络来满足他们的信息需求。尽管社交问题和回答可能是在线寻求信息的重要场所，但不幸的是，它存在答复率低的问题，大多数问题没有得到答复。为了了解为什么社交问答的回答率较低，并希望在将来有所提高，本研究分析了可能影响新浪微博上发布的问题的概率的外部因素。我们从2个不同的角度提出17个影响因素：问题的内容和发问者的特征。我们还根据建议的功能训练了一个预测模型，以预测问题的可能性。我们在微博上发布的60,000多个现实世界问题上测试了我们的预测模型，这些问题产生了600,000多个响应。研究结果表明，微博的问题回答能力主要取决于问题相对于问题。我们的发现表明，使用欣赏表情符号可以增加问题的回答概率，而使用主题标签会对接收答案的机会产生负面影响。我们的贡献在于为未来社交问题和答案工具的设计和开发提供见解，以及增强社交网络用户在支持社交信息搜索活动方面的协作。

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