Statistical analysis of the social network and discussion threads in slashdot
Proceedings of the 17th international conference on World Wide Web
Proceedings of the 18th international conference on World wide web
Predicting the volume of comments on online news stories
Proceedings of the 18th ACM conference on Information and knowledge management
What is Twitter, a social network or a news media?
Proceedings of the 19th international conference on World wide web
How useful are your comments?: analyzing and predicting youtube comments and comment ratings
Proceedings of the 19th international conference on World wide web
Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining
Everyone's an influencer: quantifying influence on twitter
Proceedings of the fourth ACM international conference on Web search and data mining
Proceedings of the ACM 2011 conference on Computer supported cooperative work
Proceedings of the 20th international conference on World wide web
Echoes of power: language effects and power differences in social interaction
Proceedings of the 21st international conference on World Wide Web
From user comments to on-line conversations
Proceedings of the 18th ACM SIGKDD international conference on Knowledge discovery and data mining
Predicting responses to microblog posts
NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
You had me at hello: how phrasing affects memorability
ACL '12 Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics: Long Papers - Volume 1
Proceedings of the 19th ACM SIGKDD international conference on Knowledge discovery and data mining
On participation in group chats on Twitter
Proceedings of the 22nd international conference on World Wide Web
No country for old members: user lifecycle and linguistic change in online communities
Proceedings of the 22nd international conference on World Wide Web
How do people link?: analysis of contact structures in human face-to-face proximity networks
Proceedings of the 2013 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
Proceedings of the 17th ACM conference on Computer supported cooperative work & social computing
Computational perspectives on social phenomena at global scales
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
Proceedings of the 23rd international conference on World wide web
Engaging with massive online courses
Proceedings of the 23rd international conference on World wide web
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Discussion threads form a central part of the experience on many Web sites, including social networking sites such as Facebook and Google Plus and knowledge creation sites such as Wikipedia. To help users manage the challenge of allocating their attention among the discussions that are relevant to them, there has been a growing need for the algorithmic curation of on-line conversations --- the development of automated methods to select a subset of discussions to present to a user. Here we consider two key sub-problems inherent in conversational curation: length prediction --- predicting the number of comments a discussion thread will receive --- and the novel task of re-entry prediction --- predicting whether a user who has participated in a thread will later contribute another comment to it. The first of these sub-problems arises in estimating how interesting a thread is, in the sense of generating a lot of conversation; the second can help determine whether users should be kept notified of the progress of a thread to which they have already contributed. We develop and evaluate a range of approaches for these tasks, based on an analysis of the network structure and arrival pattern among the participants, as well as a novel dichotomy in the structure of long threads. We find that for both tasks, learning-based approaches using these sources of information.