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QuME: a mechanism to support expertise finding in online help-seeking communities
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Facts or friends?: distinguishing informational and conversational questions in social Q&A sites
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mimir: a market-based real-time question and answer service
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Learning how: the search for craft knowledge on the internet
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Collabio: a game for annotating people within social networks
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Collaborative Search: Who, What, Where, When, Why, and How
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Do your friends make you smarter?: An analysis of social strategies in online information seeking
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The anatomy of a large-scale social search engine
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Searching the village: models and methods for social search
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Asking questions of targeted strangers on social networks
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Tie strength in question & answer on social network sites
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Using toolbar data to understand Yahoo!: answers usage
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LemonAid: selection-based crowdsourced contextual help for web applications
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Perceptions of facebook's value as an information source
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Understanding mobile Q&A usage: an exploratory study
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Retrieving and connecting reputations to find reliable results
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Comparing tweets and tags for URLs
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Building reputation and trust using federated search and opinion mining
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Grieving online: the use of search engines in times of grief and bereavement
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Who wants to know?: question-asking and answering practices among facebook users
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Investigating the appropriateness of social network question asking as a resource for blind users
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To answer or not: what non-qa social activities can tell
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Factors influencing the response rate in social question and answering behavior
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Understanding the potential of social questions in the web search
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Social media question asking workshop
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Recommending targeted strangers from whom to solicit information on social media
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Survey of social search from the perspectives of the village paradigm and online social networks
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People often turn to their friends, families, and colleagues when they have questions. The recent, rapid rise of online social networking tools has made doing this on a large scale easy and efficient. In this paper we explore the phenomenon of using social network status messages to ask questions. We conducted a survey of 624 people, asking them to share the questions they have asked and answered of their online social networks. We present detailed data on the frequency of this type of question asking, the types of questions asked, and respondents' motivations for asking their social networks rather than using more traditional search tools like Web search engines. We report on the perceived speed and quality of the answers received, as well as what motivates people to respond to questions seen in their friends' status messages. We then discuss the implications of our findings for the design of next-generation search tools.