Print Email Facebook Twitter Towards a weighted voting system for Q&A sites Title Towards a weighted voting system for Q&A sites Author Romano, D. Pinzger, M. Faculty Electrical Engineering, Mathematics and Computer Science Department Software Technology Date 2013-12-31 Abstract Version: Accepted for publication in the Proceedings of the International Conference on Software Maintenance (ICSM), 2013, IEEE Computer Society. Doi: http://dx.doi.org/10.1109/ICSM.2013.49 Q&A sites have become popular to share and look for valuable knowledge. Users can easily and quickly access high quality answers to common questions. The main mechanism to label good answers is to count the votes per answer. This mechanism, however, does not consider whether other answers were present at the time when a vote is given. Consequently, good answers that were given later are likely to receive less votes than they would have received if given earlier. In this paper we present a Weighted Votes (WV) metric that gives different weights to the votes depending on how many answers were present when the vote is performed. The idea behind WV is to emphasize the answer that receives most of the votes when most of the answers were already posted. Mining the Stack Overflow data dump we show that the WV metric is able to highlight between 4.07% and 10.82% answers that differ from the most voted ones. Subject mining repositoriesstack overflowQ&A sitessoftware engineeringmetricssocial mediasocial coding To reference this document use: http://resolver.tudelft.nl/uuid:a7c42e61-b071-41ac-83a5-7745fe98415e Publisher Delft University of Technology, Software Engineering Research Group Embargo date 2014-12-31 ISSN 1872-5392 Source Technical Report Series TUD-SERG-2013-013 Part of collection Institutional Repository Document type report Rights (c) 2013 The authors. Software Engineering Research Group, Department of Software Technology, Faculty of Electrical Engineering, Mathematics and Computer Science, Delft University of Technology. All rights reservedIEEE Computer Society Files PDF TUD-SERG-2013-013.pdf 264.94 KB Close viewer /islandora/object/uuid:a7c42e61-b071-41ac-83a5-7745fe98415e/datastream/OBJ/view