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To address this, we explored the influence of textual features on question quality based on 126 questions taken from five different categories of Yahoo! Answers labeled as \u201cBad\u201d by human assessors and then revised to be \u201cGood\u201d by them. Findings indicate significant differences between the means of each feature before and after revision, suggesting the potential for an automated system that could flag questions of poor quality. In addition, by exploring the relationship between features contributing to good quality questions, we suggest a simple set of strategies askers can take when writing a question in order to improve its chances of receiving a satisfactory answer.<\/jats:p>","DOI":"10.1002\/meet.14505001105","type":"journal-article","created":{"date-parts":[[2014,5,8]],"date-time":"2014-05-08T16:35:28Z","timestamp":1399566928000},"page":"1-4","source":"Crossref","is-referenced-by-count":2,"title":["From bad to good: An investigation of question quality and transformation"],"prefix":"10.1002","volume":"50","author":[{"given":"Vanessa","family":"Kitzie","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Erik","family":"Choi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chirag","family":"Shah","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2014,5,8]]},"reference":[{"key":"e_1_2_8_2_1","doi-asserted-by":"crossref","unstructured":"Agichtein E. 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