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Displaying 1-6 out of 6 total
No, You Cannot Predict Elections with Twitter
IEEE Internet Computing
By Daniel Gayo-Avello
Issue Date:November 2012
Predicting X from Twitter is a popular fad within the Twitter research subculture. It seems both appealing and relatively easy. Among such studies, electoral prediction is maybe the most attractive, and a growing body of literature exists on this topic. Th...
Opinion Dynamics of Elections in Twitter
2012 Latin American Web Congress (LA-WEB)
By Felipe Bravo-Marquez,Daniel Gayo-Avello,Marcelo Mendoza,Barbara Poblete
Issue Date:October 2012
In this work we conduct an empirical study of opinion time series created from Twitter data regarding the 2008 U.S. elections. The focus of our proposal is to establish whether a time series is appropriate or not for generating a reliable predictive model....
Online Self-Assessment as a Learning Method
Advanced Learning Technologies, IEEE International Conference on
By Daniel Gayo-Avello, Hortensia Fernández-Cuervo
Issue Date:July 2003
Algorithms and Programming Languages is a core subject in the BS Degree in Mathematics at the authors? university. Some of the students are very interested in computer programming but most of them find the subject quite hard. This situation is particularly...
The Cooperative Web: A Complement to the Semantic Web
Computer Software and Applications Conference, Annual International
By Daniel Gayo Avello, Darío Álvarez Gutiérrez
Issue Date:August 2002
The Web is a colossal document repository that is nowadays processed by humans only. The machines? role is just to transmit and display the contents, barely being able to do something else. The Semantic Web tries to change this status so that software agen...
Don't turn social media into another 'Literary Digest' poll
Found in: Communications of the ACM
By Daniel Gayo-Avello
Issue Date:October 2011
The power to predict outcomes based on Twitter data is greatly exaggerated, especially for political elections.
All liaisons are dangerous when all your friends are known to us
Found in: Proceedings of the 22nd ACM conference on Hypertext and hypermedia (HT '11)
By Daniel Gayo Avello
Issue Date:June 2011
Abstract Online Social Networks (OSNs) are used by millions of users worldwide. Academically speaking, there is little doubt about the usefulness of demographic studies conducted on OSNs and, hence, methods to label unknown users from small labeled samples...
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