| Predicting the Brexit vote by tracking and classifying public opinion using Twitter data JCAD Lopez, S Collignon-Delmar, K Benoit, A Matsuo Statistics, Politics and Policy 8 (1), 85-104, 2017 | 33 | 2017 |
| Towards a large-scale twitter observatory for political events S Fernando, JAD López, O Şerban, J Gómez-Romero, M Molina-Solana, ... Future Generation Computer Systems 110, 976-983, 2020 | 5 | 2020 |
| From neuroscience to computer science: a topical approach on Twitter CA Piña-García, JM Siqueiros-García, E Robles-Belmont, G Carreón, ... Journal of Computational Social Science 1 (1), 187-208, 2018 | 4 | 2018 |
| Characterizing political fake news in twitter by its meta-data J Amador, A Oehmichen, M Molina-Solana arXiv preprint arXiv:1712.05999, 2017 | 4 | 2017 |
| Not all lies are equal. A study into the engineering of political misinformation in the 2016 US presidential election A Oehmichen, K Hua, JAD López, M Molina-Solana, J Gómez-Romero, ... IEEE Access 7, 126305-126314, 2019 | 2 | 2019 |
| Political Participation in Mexico through Twitter JCAD López, CA Piña-García International Workshop on Complex Networks and their Applications, 607-618, 2016 | 2 | 2016 |
| Political participation in mexico offline and through twitter J Amador, CA Piña-Garcia Online communities as agents of change and social Movements, 138-164, 2017 | 1 | 2017 |
| Deep Learning for Fake News Classification M Molina-Solana, J Amador, JG Romero | 1* | |
| foo. castr: visualising the future AI workforce JAD Lopez, M Molina-Solana, MT Kennedy Big Data Analytics 3 (1), 1-15, 2018 | | 2018 |
