Bio
zubiaga.orgI'm a post-doctoral research fellow at the Applied Intelligence Research Centre of the Dublin Institute of Technology, where I'm working on the CeADAR project. My main research interests revolve around human-computer interaction, social computing, and text mining. My recent research has focused on mining social media for news and events, more specifically on aspects such as newsgathering and verification of information posted by citizen journalists.
Before, I was a post-doctoral researcher at the City University of New York. Prior to that, I was a research fellow at the National Distance Learning University (UNED) in Madrid, where I obtained the PhD degree in Computer Science in 2011.
Check out my recent project, Newspaper Editors vs the Crowd: See how today's NYTimes front page stories compare with hottest stories in social media. In a recent study, we found that while editors pick hard news for the front page, social media users are rather into softer news.
If you're a researcher and/or love playing with data, you might be interested in the datasets we released recently: a large-scale collection of categorized tweets and a large-scale social-tagging dataset.