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Asking Questions of Targeted Strangers on Social Networks

机译:在社交网络上针对目标陌生人的提问

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When people have questions, they often turn to their social network for answers. If the answer is obscure or time sensitive however, no members of their social networks may know the answer. For example, it may be difficult to find a friend who has experience with a particular feature or model of digital camera or who knows the current wait time for security at the local airport. In this paper, we explore the feasibility of answering questions by asking strangers. In this approach, strangers with potentially useful information are identified by mining the public status updates posted on Twitter, questions are sent to these strangers, and responses are collected. We explore feasibility in two ways: will users respond to questions sent by strangers and, if they do respond, how long must we wait for a response? Our results from asking 1159 questions across two domains suggest that 42% of users will respond to questions from strangers. 44% of these responses arrived within 30 minutes.
机译:当人们有疑问时,他们通常会在社交网络上寻求答案。但是,如果答案晦涩难懂或对时间敏感,则其社交网络的任何成员都不会知道答案。例如,可能很难找到一位对数码相机的特定功能或型号有经验或知道当地机场当前等待安全时间的朋友。在本文中,我们探讨了通过问陌生人回答问题的可行性。通过这种方法,通过挖掘Twitter上发布的公共状态更新来识别具有潜在有用信息的陌生人,将问题发送给这些陌生人,并收集响应。我们通过两种方式探讨可行性:用户会回答陌生人发出的问题吗?如果他们回答了,我们必须等待多长时间?我们在两个域中提出1159个问题的结果表明,有42%的用户将回答来自陌生人的问题。这些回应中有44%在30分钟内到达。

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