Abstract
The enormous volumes of data generated by web users are the basis of several research activities in a new innovative field of research: online forecasting. Online forecasting is associated with the proper computation of web users’ data with the aim to arrive at accurate predictions of the future in several areas of human socio-economic activity. In this paper an algorithm is applied in order to predict the results of the Greek referendum held in 2015, using as input the data generated by users of the Google search engine. The proposed algorithm allows us to predict the results of the referendum with great accuracy. We strongly believe that due to the high internet penetration, as well as, the high usage of web search engines, the proper analysis of data generated by web search users reveals useful information about people preferences and/or future actions in several areas of human activity.
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