Predictors of answer quality in online Q&A sites
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Knowledge sharing and yahoo answers: everyone knows something
Proceedings of the 17th international conference on World Wide Web
Facts or friends?: distinguishing informational and conversational questions in social Q&A sites
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Questions in, knowledge in?: a study of naver's question answering community
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Is it really about me?: message content in social awareness streams
Proceedings of the 2010 ACM conference on Computer supported cooperative work
Personalization via friendsourcing
ACM Transactions on Computer-Human Interaction (TOCHI)
What do people ask their social networks, and why?: a survey study of status message q&a behavior
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
The anatomy of a large-scale social search engine
Proceedings of the 19th international conference on World wide web
Tie strength in question & answer on social network sites
Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work
Social commerce: an e-commerce perspective
Proceedings of the 12th International Conference on Electronic Commerce: Roadmap for the Future of Electronic Business
Collaborative search revisited
Proceedings of the 2013 conference on Computer supported cooperative work
Investigating the appropriateness of social network question asking as a resource for blind users
Proceedings of the 2013 conference on Computer supported cooperative work
"Shared joy is double joy": the social practices of user networks within group shopping sites
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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Individuals often leverage their social network to receive feedback from their peers about various decisions. Capitalizing on this trend, fashion retailers, such as the eyeglass frame retailer Warby Parker, have created 'home try-on' programs and encourage customers to solicit feedback from their friends before making a purchasing decision. In this paper, we investigate Warby Parker's Facebook page and explore the ways customers formulate questions and conversations as they shop for new eyeglass frames. Our research presents insights derived from a dataset of over 10,000 Facebook posts, consisting of photos, comments, and 'likes'. Using statistical analyses and qualitative coding techniques, we examine trends and patterns of conversation on the Warby Parker Facebook page. We find that contributors produce a broad range of content, and use the Warby Parker Facebook page as a platform for creative self-expression, and socially driven decision-making.