This study introduces social question-and-answer (SQA) documentation to technical and professional communication scholarship. It conceptualizes SQA as interactive, user-generated documentation and describes contextual information types within social how-to questions that initiate documentation. It also explores whether contextual information associates with answers that complete the interactive documentation. Results reliably describe 15 information types based on content analysis of 3,529 contextual information types from 500 questions. Exploratory statistical analysis suggests that askers may increase answerability by including less speculative thought, more error messages, and less general situation information. To facilitate complete SQA documentation, the study calls for additional research into question content and answerability.

中文翻译：

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启动文档的社会操作方法问题中的上下文信息

本研究将社会问答 (SQA) 文档引入技术和专业交流奖学金。它将 SQA 概念化为交互式的、用户生成的文档，并描述了启动文档的社交操作问题中的上下文信息类型。它还探讨了上下文信息是否与完成交互式文档的答案相关联。基于对 500 个问题的 3,529 种上下文信息类型的内容分析，结果可靠地描述了 15 种信息类型。探索性统计分析表明，提问者可以通过包含更少的推测性思维、更多的错误信息和更少的一般情况信息来提高可回答性。为了促进完整的 SQA 文档，该研究要求对问题内容和可回答性进行额外研究。