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Conference Paper: Real-time detection and sorting of news on microblogging platforms

TitleReal-time detection and sorting of news on microblogging platforms
Authors
Issue Date2015
Citation
The 29th Pacific Asia Conference on Language, Information and Computation (PACLIC 2015), Shanghai, China, 30 October-1 November 2015. In Conference Proceedings, 2015, p. 462-470 How to Cite?
AbstractDue to the increasing popularity of microblog-ging platforms (e.g., Twitter), detecting real-Time news from microblogs (e.g., tweets) has recently drawn a lot of attention. Most of the previous work on this subject detect news by analyzing propagation patterns of microblogs. This approach has two limitations: (i) many non-news microblogs (e.g. marketing activi-Ties) have propagation patterns similar to news microblogs and therefore they can be false-ly reported as news; (ii) using propagation patterns to identify news involves a time de-lay until the pattern is formed, therefore news are not detected in real time. We propose an alternative approach, which, motivated by the necessity of real-Time detection of news, does not rely on propagation of posts. More-over, we propose a real-Time sorting strategy that orders the detected news microblogs us-ing a translational approach. An experimen-Tal evaluation on a large-scale microblogging dataset demonstrates the effectiveness of our approach.
Persistent Identifierhttp://hdl.handle.net/10722/234880

 

DC FieldValueLanguage
dc.contributor.authorTu, W-
dc.contributor.authorCheung, DWL-
dc.contributor.authorMamoulis, N-
dc.contributor.authorYang, M-
dc.contributor.authorLu, Z-
dc.date.accessioned2016-10-14T13:49:51Z-
dc.date.available2016-10-14T13:49:51Z-
dc.date.issued2015-
dc.identifier.citationThe 29th Pacific Asia Conference on Language, Information and Computation (PACLIC 2015), Shanghai, China, 30 October-1 November 2015. In Conference Proceedings, 2015, p. 462-470-
dc.identifier.urihttp://hdl.handle.net/10722/234880-
dc.description.abstractDue to the increasing popularity of microblog-ging platforms (e.g., Twitter), detecting real-Time news from microblogs (e.g., tweets) has recently drawn a lot of attention. Most of the previous work on this subject detect news by analyzing propagation patterns of microblogs. This approach has two limitations: (i) many non-news microblogs (e.g. marketing activi-Ties) have propagation patterns similar to news microblogs and therefore they can be false-ly reported as news; (ii) using propagation patterns to identify news involves a time de-lay until the pattern is formed, therefore news are not detected in real time. We propose an alternative approach, which, motivated by the necessity of real-Time detection of news, does not rely on propagation of posts. More-over, we propose a real-Time sorting strategy that orders the detected news microblogs us-ing a translational approach. An experimen-Tal evaluation on a large-scale microblogging dataset demonstrates the effectiveness of our approach.-
dc.languageeng-
dc.relation.ispartofPacific Asia Conference on Language, Information and Computation, PACLIC 2015 Proceedings-
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.titleReal-time detection and sorting of news on microblogging platforms-
dc.typeConference_Paper-
dc.identifier.emailCheung, DWL: dcheung@cs.hku.hk-
dc.identifier.emailMamoulis, N: nikos@cs.hku.hk-
dc.identifier.authorityCheung, DWL=rp00101-
dc.identifier.authorityMamoulis, N=rp00155-
dc.description.naturepostprint-
dc.identifier.scopuseid_2-s2.0-84967185275-
dc.identifier.hkuros268747-
dc.identifier.spage462-
dc.identifier.epage470-
dc.customcontrol.immutablesml 161202-

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