{"id":162201,"date":"2019-01-17T09:54:23","date_gmt":"2019-01-17T17:54:23","guid":{"rendered":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/msr-research-item\/effects-of-community-size-and-contact-rate-in-synchronous-social-qa\/"},"modified":"2019-01-17T09:54:23","modified_gmt":"2019-01-17T17:54:23","slug":"effects-of-community-size-and-contact-rate-in-synchronous-social-qa","status":"publish","type":"msr-research-item","link":"https:\/\/cm-edgetun.pages.dev\/en-us\/research\/publication\/effects-of-community-size-and-contact-rate-in-synchronous-social-qa\/","title":{"rendered":"Effects of Community Size and Contact Rate in Synchronous Social Q&A"},"content":{"rendered":"<div class=\"asset-content\">\n<p>Social question-and-answer (Q&A) involves the location of answers to questions through communication with people. Social Q&A systems, such as mailing lists and Web forums are popular, but their asynchronous nature can lead to high answer latency. Synchronous Q&A systems facilitate real-time dialog, usually via instant messaging, but face challenges with interruption costs and the availability of knowl-edgeable answerers at question time. We ran a longitudinal study of a synchronous social Q&A system to investigate the effects of the rate with which potential answerers were contacted (trading off time-to-answer against interruption cost) and community size (varying total number of mem-bers). We found important differences in subjective and objective measures of system performance with these varia-tions. Our findings help us understand the costs and benefits of varying contact rate and community size in synchronous social Q&A, and inform system design for social Q&A.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Social question-and-answer (Q&A) involves the location of answers to questions through communication with people. Social Q&A systems, such as mailing lists and Web forums are popular, but their asynchronous nature can lead to high answer latency. Synchronous Q&A systems facilitate real-time dialog, usually via instant messaging, but face challenges with interruption costs and the availability [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"_classifai_error":"","msr-author-ordering":null,"msr_publishername":"","msr_publisher_other":"","msr_booktitle":"","msr_chapter":"","msr_edition":"Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems (CHI 2011)","msr_editors":"","msr_how_published":"","msr_isbn":"","msr_issue":"","msr_journal":"","msr_number":"","msr_organization":"","msr_pages_string":"2837-2846","msr_page_range_start":"2837","msr_page_range_end":"2846","msr_series":"","msr_volume":"","msr_copyright":"","msr_conference_name":"Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems (CHI 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