A mathematical theory of communication
ACM SIGMOBILE Mobile Computing and Communications Review
Text Categorization with Suport Vector Machines: Learning with Many Relevant Features
ECML '98 Proceedings of the 10th European Conference on Machine Learning
In Defense of One-Vs-All Classification
The Journal of Machine Learning Research
Why we twitter: understanding microblogging usage and communities
Proceedings of the 9th WebKDD and 1st SNA-KDD 2007 workshop on Web mining and social network analysis
Proceedings of the 2nd ACM workshop on Social web search and mining
What is Twitter, a social network or a news media?
Proceedings of the 19th international conference on World wide web
Earthquake shakes Twitter users: real-time event detection by social sensors
Proceedings of the 19th international conference on World wide web
Emerging topic detection on Twitter based on temporal and social terms evaluation
Proceedings of the Tenth International Workshop on Multimedia Data Mining
Short text classification in twitter to improve information filtering
Proceedings of the 33rd international ACM SIGIR conference on Research and development in information retrieval
Modeling Information Diffusion in Implicit Networks
ICDM '10 Proceedings of the 2010 IEEE International Conference on Data Mining
Who says what to whom on twitter
Proceedings of the 20th international conference on World wide web
Towards real-time summarization of scheduled events from twitter streams
Proceedings of the 23rd ACM conference on Hypertext and social media
Re-tweeting from a linguistic perspective
LSM '12 Proceedings of the Second Workshop on Language in Social Media
Identifying event-related bursts via social media activities
EMNLP-CoNLL '12 Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
Discover breaking events with popular hashtags in twitter
Proceedings of the 21st ACM international conference on Information and knowledge management
Curating and contextualizing Twitter stories to assist with social newsgathering
Proceedings of the 2013 international conference on Intelligent user interfaces
Harnessing web page directories for large-scale classification of tweets
Proceedings of the 22nd international conference on World Wide Web companion
Identifying local events by using microblogs as social sensors
Proceedings of the 10th Conference on Open Research Areas in Information Retrieval
On sparsity and drift for effective real-time filtering in microblogs
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Proceedings of the first ACM conference on Online social networks
Are Some Tweets More Interesting Than Others? #HardQuestion
Proceedings of the Symposium on Human-Computer Interaction and Information Retrieval
Hi-index | 0.00 |
Twitter summarizes the great deal of messages posted by users in the form of trending topics that reflect the top conversations being discussed at a given moment. These trending topics tend to be connected to current affairs. Different happenings can give rise to the emergence of these trending topics. For instance, a sports event broadcasted on TV, or a viral meme introduced by a community of users. Detecting the type of origin can facilitate information filtering, enhance real-time data processing, and improve user experience. In this paper, we introduce a typology to categorize the triggers that leverage trending topics: news, current events, memes, and commemoratives. We define a set of straightforward language-independent features that rely on the social spread of the trends to discriminate among those types of trending topics. Our method provides an efficient way to immediately and accurately categorize trending topics without need of external data, outperforming a content-based approach.