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  4. Answer quality characteristics and prediction on an academic QandA site: A case study on researchgate
 
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Answer quality characteristics and prediction on an academic QandA site: A case study on researchgate

Journal
24th International Conference on World Wide Web
Pages
1453-1458
ISBN
9781450334730
Date Issued
2015-05-18
Author(s)
Li, Lei
He, Daqing
Jeng, Wei  
Goodwin, Spencer
Zhang, Chengzhi
DOI
https://api.elsevier.com/content/abstract/scopus_id/84968658874
10.1145/2740908.2742129
URI
https://scholars.lib.ntu.edu.tw/handle/123456789/405721
URL
https://api.elsevier.com/content/abstract/scopus_id/84968658874
Abstract
Despite various studies on examining and predicting answer quality on generic social QandA sites such as Yahoo! Answers, little is known about why answers on academic QandA sites are voted on by scholars who follow the discussion threads to be high quality answers. Using 1021 answers obtained from the QandA part of an academic social network site ResearchGate (RG), we firstly explored whether various web-captured features and human-coded features can be the critical factors that influence the peer-judged answer quality. Then using the identified critical features, we constructed three classification models to predict the peer-judged rating. Our results identify four main findings. Firstly, responders' authority, shorter response time and greater answer length are the critical features that positively associate with the peer-judged answer quality. Secondly, answers containing social elements are very likely to harm the peer-judged answer quality. Thirdly, an optimized SVM algorithm has an overwhelming advantage over other models in terms of accuracy. Finally, the prediction based on web-captured features had better performance when comparing to prediction on human-coded features. We hope that these interesting insights on ResearchGate's answer quality can help the further design of academic QandA sites.
Subjects
Academic QandA site | Academic social networking | Peer rating | ResearchGate | Social QandA | User judgment
Description
24th International Conference on World Wide Web, WWW 2015; Florence; Italy; 18 May 2015 到 22 May 2015
Type
conference paper

臺大位居世界頂尖大學之列,為永久珍藏及向國際展現本校豐碩的研究成果及學術能量,圖書館整合機構典藏(NTUR)與學術庫(AH)不同功能平台,成為臺大學術典藏NTU scholars。期能整合研究能量、促進交流合作、保存學術產出、推廣研究成果。

To permanently archive and promote researcher profiles and scholarly works, Library integrates the services of “NTU Repository” with “Academic Hub” to form NTU Scholars.

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開放取用是從使用者角度提升資訊取用性的社會運動,應用在學術研究上是透過將研究著作公開供使用者自由取閱,以促進學術傳播及因應期刊訂購費用逐年攀升。同時可加速研究發展、提升研究影響力,NTU Scholars即為本校的開放取用典藏(OA Archive)平台。(點選深入了解OA)

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