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Real-time classification of Twitter trends
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Zubiaga, Arkaitz, Spina, Damiano, Martínez, Raquel and Fresno, Víctor (2015) Real-time classification of Twitter trends. Journal of the Association for Information Science and Technology, Volume 66 (Number 3). pp. 462-473. doi:10.1002/asi.23186 ISSN 2330-1635.
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Official URL: http://dx.doi.org/10.1002/asi.23186
Abstract
Social media users give rise to social trends as they share about common interests, which can be triggered by different reasons. In this work, we explore the types of triggers that spark trends on Twitter, introducing a typology with following four types: news, ongoing events, memes, and commemoratives. While previous research has analyzed trending topics in a long term, we look at the earliest tweets that produce a trend, with the aim of categorizing trends early on. This would allow to provide a filtered subset of trends to end users. We analyze and experiment with a set of straightforward language-independent features based on the social spread of trends to categorize them into the introduced typology. Our method provides an efficient way to accurately categorize trending topics without need of external data, enabling news organizations to discover breaking news in real-time, or to quickly identify viral memes that might enrich marketing decisions, among others. The analysis of social features also reveals patterns associated with each type of trend, such as tweets about ongoing events being shorter as many were likely sent from mobile devices, or memes having more retweets originating from a few trend-setters.
Item Type: | Journal Article | ||||||||||
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Subjects: | P Language and Literature > P Philology. Linguistics | ||||||||||
Divisions: | Faculty of Science, Engineering and Medicine > Science > Computer Science | ||||||||||
Library of Congress Subject Headings (LCSH): | Online social networks, Twitter, Microblogs, Real-time data processing | ||||||||||
Journal or Publication Title: | Journal of the Association for Information Science and Technology | ||||||||||
Publisher: | John Wiley & Sons, Inc. | ||||||||||
ISSN: | 2330-1635 | ||||||||||
Official Date: | March 2015 | ||||||||||
Dates: |
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Volume: | Volume 66 | ||||||||||
Number: | Number 3 | ||||||||||
Number of Pages: | 15 | ||||||||||
Page Range: | pp. 462-473 | ||||||||||
DOI: | 10.1002/asi.23186 | ||||||||||
Status: | Peer Reviewed | ||||||||||
Publication Status: | Published | ||||||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||||||
Date of first compliant deposit: | 29 December 2015 | ||||||||||
Date of first compliant Open Access: | 29 December 2015 | ||||||||||
Funder: | Spain. Ministerio de Educación, Spain. Ministerio de Ciencia e Innovación (MICINN), Madrid (Spain : Region), Seventh Framework Programme (European Commission) (FP7) | ||||||||||
Grant number: | AP2009-0507 (S.MdE), TIN2010-21128-C02 (MICINN), MA2VICMR (S2009/TIC-1542) (Madrid), 288024 (LiMoSINe) (FP7) | ||||||||||
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