Initial README

README.md

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-# botbusters-spanish-general-elections
+# Botbusters - Analysis of the 2019 Spanish General Election
+
+This is the official repository for the Botbusters analysis of the 2019 Spanish General Election. 
+
+## Authors
+- Javier Pastor-Galindo (javierpg [at] um [dot] es) <sup>M</sup>
+- Mattia Zago (mattia.zago [at] um [dot] es) <sup>M</sup>
+- Pantaleone Nespoli (pantaleone.nespoli [at] um [dot] es) <sup>M</sup>
+- Sergio López Bernal (slopez [at] um [dot] es) <sup>M</sup>
+- Alberto Huertas Celdrán (ahuertas [at] tssg [dot] org) <sup>W</sup>
+- Manuel Gil Pérez (mgilperez [at] um [dot] es) <sup>M</sup>
+- Josìe A. Ruipérez-Valiente (jruiperez [at] um [dot] es) <sup>M</sup>
+- Gregorio Martínez Pérez (gregorio [at] um [dot] es) <sup>M</sup>
+- Félix Gómez Mármol (felixgm [at] um [dot] es) <sup>M</sup>
+
+## Affiliations
+ <sup>M</sup> Authors are with the Department of Information and Communications Engineering, University of Murcia, Spain
+
+ <sup>W</sup> Authors are with the Telecommunication Software & Systems Group, Waterford Institute of Technology, Ireland
+
+## Abstract
+>While social media has been proved as an exceptionally useful tool to interact with other people and massively and quickly spread helpful information, its great potential has been ill-intentionally leveraged as well to distort political elections and manipulate constituents. In the paper at hand, we analyzed the presence and behavior of political social bots on Twitter in the context of the November 2019 Spanish general election. Throughout our study, we classified involved users as Social bots or humans, and examined their interactions from a quantitative (i.e., amount of traffic generated and existing relations) and qualitative (i.e., user's political affinity and sentiment towards the most important parties) perspectives. Results demonstrated that a non-negligible amount of those bots actively participated in the election, supporting each of the five principal political parties.
+
+## Usage
+T.B.A.
+
+## Bibliography
+1. Zago, M., Nespoli, P., Papamartzivanos, D., Gil Pérez, M., Gómez Mármol, F., Kambourakis, G. and Martínez Pérez, G., 2019. Screening Out Social Bots Interference: Are There Any Silver Bullets?. _IEEE Communications Magazine_, 57(8), pp.98-104. DOI: [10.1109/MCOM.2019.1800520](https://doi.org/10.1109/MCOM.2019.1800520)