Formal Models for Expert Finding on DBLP Bibliography Data
ICDM '08 Proceedings of the 2008 Eighth IEEE International Conference on Data Mining
Why We Twitter: An Analysis of a Microblogging Community
Advances in Web Mining and Web Usage Analysis
TwitterRank: finding topic-sensitive influential twitterers
Proceedings of the third ACM international conference on Web search and data mining
What is Twitter, a social network or a news media?
Proceedings of the 19th international conference on World wide web
Identifying topical authorities in microblogs
Proceedings of the fourth ACM international conference on Web search and data mining
Terms of a feather: content-based news recommendation and discovery using twitter
ECIR'11 Proceedings of the 33rd European conference on Advances in information retrieval
Interweaving Trend and User Modeling for Personalized News Recommendation
WI-IAT '11 Proceedings of the 2011 IEEE/WIC/ACM International Conferences on Web Intelligence and Intelligent Agent Technology - Volume 01
From chatter to headlines: harnessing the real-time web for personalized news recommendation
Proceedings of the fifth ACM international conference on Web search and data mining
A tweet-centric approach for topic-specific author ranking in micro-blog
ADMA'11 Proceedings of the 7th international conference on Advanced Data Mining and Applications - Volume Part I
Understanding experts' and novices' expertise judgment of twitter users
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Inferring who-is-who in the Twitter social network
Proceedings of the 2012 ACM workshop on Workshop on online social networks
Cognos: crowdsourcing search for topic experts in microblogs
SIGIR '12 Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval
A system for twitter user list curation
Proceedings of the sixth ACM conference on Recommender systems
It's Not in Their Tweets: Modeling Topical Expertise of Twitter Users
SOCIALCOM-PASSAT '12 Proceedings of the 2012 ASE/IEEE International Conference on Social Computing and 2012 ASE/IEEE International Conference on Privacy, Security, Risk and Trust
Traffic prediction and discovery of news via news crowds
Proceedings of the 22nd international conference on World Wide Web companion
Social media news communities: gatekeeping, coverage, and statement bias
Proceedings of the 22nd ACM international conference on Conference on information & knowledge management
Hi-index | 0.00 |
Users interact with online news in many ways, one of them being sharing content through online social networking sites such as Twitter. There is a small but important group of users that devote a substantial amount of effort and care to this activity. These users monitor a large variety of sources on a topic or around a story, carefully select interesting material on this topic, and disseminate it to an interested audience ranging from thousands to millions. These users are news curators, and are the main subject of study of this paper. We adopt the perspective of a journalist or news editor who wants to discover news curators among the audience engaged with a news site. We look at the users who shared a news story on Twitter and attempt to identify news curators who may provide more information related to that story. In this paper we describe how to find this specific class of curators, which we refer to as news story curators. Hence, we proceed to compute a set of features for each user, and demonstrate that they can be used to automatically find relevant curators among the audience of two large news organizations.