Print Email Facebook Twitter Asking the right question in collaborative O&A systems Title Asking the right question in collaborative O&A systems Author Yang, J. Hauff, C. Bozzon, A. Houben, G.J.P.M. Faculty Electrical Engineering, Mathematics and Computer Science Department Software Computer Technology Date 2014-09-04 Abstract Collaborative Question Answering (cQA) platforms are a very popular repository of crowd-generated knowledge. By formulating questions, users express needs that other members of the cQA community try to collaboratively satisfy. Poorly formulated questions are less likely to receive useful responses, thus hindering the overall knowledge generation process. Users are often asked to reformulate their needs, adding specific details, providing examples, or simply clarifying the context of their requests. Formulating a good question is a task that might require several interactions between the asker and other community members, thus delaying the actual answering and, possibly, decreasing the interest of the community in the issue. This paper contributes new insights to the study of cQA platforms by investigating the editing behaviour of users. We identify a number of editing actions, and provide a two-step approach for the automatic suggestion of the most likely editing actions to be performed for a newly created question. We evaluated our approach in the context of the Stack Overflow cQA system, demonstrating how, for given types of editing actions, it is possible to provide accurate reformulation suggestions. Subject Collaborative Question AnsweringClassiffcationStack Overflow To reference this document use: http://resolver.tudelft.nl/uuid:990faf5b-601e-4fec-880c-ae25dbef4593 Publisher ACM ISBN 978-1-4503-2954-5 Source Proceedings of the 25th ACM Conference on Hypertext and Social Media, 1-4 September 2014, Santiago, Chile Part of collection Institutional Repository Document type conference paper Rights (c) 2014 ACM Files PDF 310005.pdf 687.37 KB Close viewer /islandora/object/uuid:990faf5b-601e-4fec-880c-ae25dbef4593/datastream/OBJ/view