A study of retrospective and on-line event detection
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
On-line new event detection and tracking
Proceedings of the 21st annual international ACM SIGIR conference on Research and development in information retrieval
Information Retrieval
Bursty and hierarchical structure in streams
Proceedings of the eighth ACM SIGKDD international conference on Knowledge discovery and data mining
A System for new event detection
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
TextTiling: segmenting text into multi-paragraph subtopic passages
Computational Linguistics
Robustness beyond shallowness: incremental deep parsing
Natural Language Engineering
A Dynamic Programming Algorithm for Linear Text Segmentation
Journal of Intelligent Information Systems
Meme-tracking and the dynamics of the news cycle
Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining
Automatic single-document key fact extraction from newswire articles
EACL '09 Proceedings of the 12th Conference of the European Chapter of the Association for Computational Linguistics
Streaming first story detection with application to Twitter
HLT '10 Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics
Full and mini-batch clustering of news articles with Star-EM
ECIR'12 Proceedings of the 34th European conference on Advances in Information Retrieval
| Hi-index | 0.00 |
We present a data-driven study on which sources were the first to report on news events. For this, we implemented a news-aggregator that included a large number of established news sources and covered one year of data. We present a novel framework that is able to retrieve a large number of events and not only the most salient ones, while at the same time making sure that they are not exclusively of local impact. Our analysis then focuses on different aspects of the news cycle. In particular we analyze which are the sources to break most of the news. By looking when certain events become bursty, we are able to perform a finer analysis on those events and the associated sources that dominate the global news-attention. Finally we study the time it takes news outlet to report on these events and how this reects different strategies of which news to report. A general finding of our study is that big news agencies remain an important threshold to cross to bring global attention to particular news, but it also shows the importance of focused (by region or topic) outlets.