We use cookies to ensure that we give you the best experience on our website. You can change your cookie settings at any time. Otherwise, we'll assume you're OK to continue.

Durham University

Computer Science


Publication details for Professor Alexandra Cristea

Tsakalidis,Adam Papadopoulos, S. Cristea, A. I. & Kompatsiaris, Yiannis (2015). Predicting elections for multiple countries using Twitter and polls. IEEE Intelligent Systems 30(2): 10-17.

Author(s) from Durham


The authors' work focuses on predicting the 2014 European Union elections in three different countries using Twitter and polls. Past works in this domain relying strictly on Twitter data have been proven ineffective. Others, using polls as their ground truth, have raised questions regarding the contribution of Twitter data for this task. Here, the authors treat this task as a multivariate time-series forecast, extracting Twitter- and poll-based features and training different predictive algorithms. They've achieved better results than several past works and the commercial baseline.