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Arkaitz Zubiaga

Researcher at Queen Mary University of London

Publications -  189
Citations -  5738

Arkaitz Zubiaga is an academic researcher from Queen Mary University of London. The author has contributed to research in topics: Social media & Computer science. The author has an hindex of 37, co-authored 162 publications receiving 4345 citations. Previous affiliations of Arkaitz Zubiaga include National University of Distance Education & University of Warwick.

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Real-Time Classification of Twitter Trends

Arkaitz Zubiaga, +3 more
- 06 Mar 2014 - 
TL;DR: This work explores the types of triggers that spark trends on Twitter, introducing a typology with the following 4 types: news, ongoing events, memes, and commemoratives, and provides an efficient way to accurately categorize trending topics without need of external data.
Journal ArticleDOI

Real-time classification of Twitter trends

Arkaitz Zubiaga, +3 more
TL;DR: This article explore the types of triggers that spark trends on Twitter, introducing a typology with the following 4 types: news, ongoing events, memes, and commemoratives, and experiment with a set of straightforward language-independent features based on the social spread of trends and categorize them using the typology.
Posted Content

Towards Real-Time Summarization of Scheduled Events from Twitter Streams

Arkaitz Zubiaga, +3 more
- 17 Apr 2012 - 
TL;DR: By comparing summaries in three languages to live reports by journalists, it is shown that simple text analysis methods which do not involve external knowledge lead to summaries that cover 84% of the sub-events on average, and 100% of key types of sub- Events.
Proceedings ArticleDOI

Classifying trending topics: a typology of conversation triggers on Twitter

Arkaitz Zubiaga, +3 more
TL;DR: A typology to categorize the triggers that leverage trending topics: news, current events, memes, and commemoratives is introduced, providing an efficient way to immediately and accurately categorize trending topics without need of external data, outperforming a content-based approach.
Journal ArticleDOI

Tweet, but verify: epistemic study of information verification on Twitter

Arkaitz Zubiaga, +1 more
- 25 Mar 2014 - 
TL;DR: This study surveys users on credibility perceptions regarding witness pictures posted on Twitter related to Hurricane Sandy, and unveils insight about tweet presentation, as well as features that users should look at when assessing the veracity of tweets in the context of fast-paced events.