A tutorial on support vector regression
Statistics and Computing
ACM Transactions on the Web (TWEB)
Finding high-quality content in social media
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
Proceedings of the 18th international conference on World wide web
Learning document aboutness from implicit user feedback and document structure
Proceedings of the 18th ACM conference on Information and knowledge management
Is it really about me?: message content in social awareness streams
Proceedings of the 2010 ACM conference on Computer supported cooperative work
Time is of the essence: improving recency ranking using Twitter data
Proceedings of the 19th international conference on World wide web
What is Twitter, a social network or a news media?
Proceedings of the 19th international conference on World wide web
Detecting controversial events from twitter
CIKM '10 Proceedings of the 19th ACM international conference on Information and knowledge management
Experiments in Microblog Summarization
SOCIALCOM '10 Proceedings of the 2010 IEEE Second International Conference on Social Computing
Measuring message propagation and social influence on Twitter.com
SocInfo'10 Proceedings of the Second international conference on Social informatics
Everyone's an influencer: quantifying influence on twitter
Proceedings of the fourth ACM international conference on Web search and data mining
A new approach for multi-document update summarization
Journal of Computer Science and Technology
Hip and trendy: Characterizing emerging trends on Twitter
Journal of the American Society for Information Science and Technology
Proceedings of the 34th international ACM SIGIR conference on Research and development in Information Retrieval
Why is "SXSW" trending?: exploring multiple text sources for Twitter topic summarization
LSM '11 Proceedings of the Workshop on Languages in Social Media
Linguistic redundancy in Twitter
EMNLP '11 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Summarizing sporting events using twitter
Proceedings of the 2012 ACM international conference on Intelligent User Interfaces
Multi-objective ranking of comments on web
Proceedings of the 21st international conference on World Wide Web
Micropinion generation: an unsupervised approach to generating ultra-concise summaries of opinions
Proceedings of the 21st international conference on World Wide Web
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Social media responses to news have increasingly gained in importance as they can enhance a consumer's news reading experience, promote information sharing and aid journalists in assessing their readership's response to a story. Given that the number of responses to an online news article may be huge, a common challenge is that of selecting only the most interesting responses for display. This paper addresses this challenge by casting message selection as an optimization problem. We define an objective function which jointly models the messages' utility scores and their entropy. We propose a near-optimal solution to the underlying optimization problem, which leverages the submodularity property of the objective function. Our solution first learns the utility of individual messages in isolation and then produces a diverse selection of interesting messages by maximizing the defined objective function. The intuitions behind our work are that an interesting selection of messages contains diverse, informative, opinionated and popular messages referring to the news article, written mostly by users that have authority on the topic. Our intuitions are embodied by a rich set of content, social and user features capturing the aforementioned aspects. We evaluate our approach through both human and automatic experiments, and demonstrate it outperforms the state of the art. Additionally, we perform an in-depth analysis of the annotated ``interesting'' responses, shedding light on the subjectivity around the selection process and the perception of interestingness.