%0 Conference Paper %1 Li:2015:AQC:2740908.2742129 %A Li, Lei %A He, Daqing %A Jeng, Wei %A Goodwin, Spencer %A Zhang, Chengzhi %B Proceedings of the 24th International Conference on World Wide Web %C New York, NY, USA %D 2015 %I ACM %K social-information-access %P 1453--1458 %R 10.1145/2740908.2742129 %T Answer Quality Characteristics and Prediction on an Academic Q&\#38;A Site: A Case Study on ResearchGate %U http://doi.acm.org/10.1145/2740908.2742129 %X Despite various studies on examining and predicting answer quality on generic social Q&A sites such as Yahoo! Answers, little is known about why answers on academic Q&A sites are voted on by scholars who follow the discussion threads to be high quality answers. Using 1021 answers obtained from the Q&A 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 Q&A sites. %@ 978-1-4503-3473-0

@inproceedings{Li:2015:AQC:2740908.2742129, abstract = {Despite various studies on examining and predicting answer quality on generic social Q&A sites such as Yahoo! Answers, little is known about why answers on academic Q&A sites are voted on by scholars who follow the discussion threads to be high quality answers. Using 1021 answers obtained from the Q&A 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 Q&A sites.}, acmid = {2742129}, added-at = {2017-03-22T15:27:07.000+0100}, address = {New York, NY, USA}, author = {Li, Lei and He, Daqing and Jeng, Wei and Goodwin, Spencer and Zhang, Chengzhi}, biburl = {https://www.bibsonomy.org/bibtex/2e91051fa1f030f44a2c2dd6c4bf7a547/sdjavadi}, booktitle = {Proceedings of the 24th International Conference on World Wide Web}, description = {Answer Quality Characteristics and Prediction on an Academic Q&A Site}, doi = {10.1145/2740908.2742129}, interhash = {3ba1491da4000d1ce33ae577bae6de50}, intrahash = {e91051fa1f030f44a2c2dd6c4bf7a547}, isbn = {978-1-4503-3473-0}, keywords = {social-information-access}, location = {Florence, Italy}, numpages = {6}, pages = {1453--1458}, publisher = {ACM}, series = {WWW '15 Companion}, timestamp = {2017-03-22T15:27:07.000+0100}, title = {Answer Quality Characteristics and Prediction on an Academic Q\&\#38;A Site: A Case Study on ResearchGate}, url = {http://doi.acm.org/10.1145/2740908.2742129}, year = 2015 }