Information diffusion through blogspace
Proceedings of the 13th international conference on World Wide Web
Group formation in large social networks: membership, growth, and evolution
Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining
The dynamics of viral marketing
ACM Transactions on the Web (TWEB)
How opinions are received by online communities: a case study on amazon.com helpfulness votes
Proceedings of the 18th international conference on World wide web
Meme-tracking and the dynamics of the news cycle
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Trusting politicians' words (for persuasive NLP)
CICLing'08 Proceedings of the 9th international conference on Computational linguistics and intelligent text processing
Patterns of temporal variation in online media
Proceedings of the fourth ACM international conference on Web search and data mining
Proceedings of the 20th international conference on World wide web
Who says what to whom on twitter
Proceedings of the 20th international conference on World wide web
CMCL '11 Proceedings of the 2nd Workshop on Cognitive Modeling and Computational Linguistics
What's in a hashtag?: content based prediction of the spread of ideas in microblogging communities
Proceedings of the fifth ACM international conference on Web search and data mining
Characterizing and curating conversation threads: expansion, focus, volume, re-entry
Proceedings of the sixth ACM international conference on Web search and data mining
NIFTY: a system for large scale information flow tracking and clustering
Proceedings of the 22nd international conference on World Wide Web
Computational perspectives on social phenomena at global scales
IJCAI'13 Proceedings of the Twenty-Third international joint conference on Artificial Intelligence
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Understanding the ways in which information achieves widespread public awareness is a research question of significant interest. We consider whether, and how, the way in which the information is phrased --- the choice of words and sentence structure --- can affect this process. To this end, we develop an analysis framework and build a corpus of movie quotes, annotated with memorability information, in which we are able to control for both the speaker and the setting of the quotes. We find that there are significant differences between memorable and non-memorable quotes in several key dimensions, even after controlling for situational and contextual factors. One is lexical distinctiveness: in aggregate, memorable quotes use less common word choices, but at the same time are built upon a scaf-folding of common syntactic patterns. Another is that memorable quotes tend to be more general in ways that make them easy to apply in new contexts --- that is, more portable. We also show how the concept of "memorable language" can be extended across domains.