Using twitter to recommend real-time topical news
Proceedings of the third ACM conference on Recommender systems
What is Twitter, a social network or a news media?
Proceedings of the 19th international conference on World wide web
Using a model of social dynamics to predict popularity of news
Proceedings of the 19th international conference on World wide web
Predicting the Future with Social Media
WI-IAT '10 Proceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 01
TI: an efficient indexing mechanism for real-time search on tweets
Proceedings of the 2011 ACM SIGMOD International Conference on Management of data
Part-of-speech tagging for Twitter: annotation, features, and experiments
HLT '11 Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies: short papers - Volume 2
Uprising microblogs: a bayesian network retrieval model for tweet search
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Earlybird: Real-Time Search at Twitter
ICDE '12 Proceedings of the 2012 IEEE 28th International Conference on Data Engineering
Joint topic modeling for event summarization across news and social media streams
Proceedings of the 21st ACM international conference on Information and knowledge management
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In this paper, we investigate the possibilities to estimate the impact the content of a news article has on social media, and in particular on Twitter. We propose an approach that makes use of captured and temporarily stored microposts found in social media, and compares their relevance to an arbitrary news article. These results are used to derive key indicators of the social media impact of the specified content. We describe each step of our approach, provide a first implementation, and discuss the most imminent challenges and discussion points.