Ask-an-expert services analysis
Journal of the American Society for Information Science and Technology
Finding high-quality content in social media
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
Predictors of answer quality in online Q&A sites
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Finding the right facts in the crowd: factoid question answering over social media
Proceedings of the 17th international conference on World Wide Web
Knowledge sharing and yahoo answers: everyone knows something
Proceedings of the 17th international conference on World Wide Web
Automatic identification of quasi-experimental designs for discovering causal knowledge
Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining
Identifying user behavior in online social networks
Proceedings of the 1st Workshop on Social Network Systems
Controlled experiments on the web: survey and practical guide
Data Mining and Knowledge Discovery
Questions in, knowledge in?: a study of naver's question answering community
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Designing incentives for online question and answer forums
Proceedings of the 10th ACM conference on Electronic commerce
Motivating contributors in social media networks
WSM '09 Proceedings of the first SIGMM workshop on Social media
Causality: Models, Reasoning and Inference
Causality: Models, Reasoning and Inference
Design lessons from the fastest q&a site in the west
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Video stream quality impacts viewer behavior: inferring causality using quasi-experimental designs
Proceedings of the 2012 ACM conference on Internet measurement conference
Transforming graph data for statistical relational learning
Journal of Artificial Intelligence Research
Steering user behavior with badges
Proceedings of the 22nd international conference on World Wide Web
Understanding the effectiveness of video ads: a measurement study
Proceedings of the 2013 conference on Internet measurement conference
Video stream quality impacts viewer behavior: inferring causality using quasi-experimental designs
IEEE/ACM Transactions on Networking (TON)
Hi-index | 0.00 |
Social media systems have become increasingly attractive to both users and companies providing those systems. Efficient management of these systems is essential and requires knowledge of cause-and-effect relationships within the system. Online experimentation can be used to discover causal knowledge; however, this ignores the observational data that is already being collected for operational purposes. Quasi-experimental designs (QEDs) are commonly used in social sciences to discover causal knowledge from observational data, and QEDs can be exploited to discover causal knowledge about social media systems. In this paper, we apply three different QEDs to demonstrate how one can gain a causal understanding of a social media system. The conclusions drawn from using a QED can have threats to their validity, but we show how one can carefully construct sophisticated designs to overcome some of those threats.