| Research methods in the age of digital journalism: Massive-scale automated analysis of news-content—topics, style and gender I Flaounas, O Ali, T Lansdall-Welfare, T De Bie, N Mosdell, J Lewis, ... Digital journalism 1 (1), 102-116, 2013 | 133* | 2013 |
| Effects of the Recession on Public Mood in the UK T Lansdall-Welfare, V Lampos, N Cristianini Proceedings of the 21st International Conference on World Wide Web, 1221-1226, 2012 | 133 | 2012 |
| Content Analysis of 150 Years of British Periodicals T Lansdall-Welfare, S Sudhahar, J Thompson, J Lewis, FMPN Team, ... Proceedings of the National Academy of Sciences of the United States of America, 2017 | 119 | 2017 |
| Women are seen more than heard in online newspapers S Jia, T Lansdall-Welfare, S Sudhahar, C Carter, N Cristianini PloS one 11 (2), e0148434, 2016 | 119 | 2016 |
| Gender Classification by Deep Learning on Millions of Weakly Labelled Images S Jia, T Lansdall-Welfare, N Cristianini IEEE International Conference on Data Mining (ICDM), 2016 | 66 | 2016 |
| Nowcasting the mood of the nation T Lansdall-Welfare, V Lampos, N Cristianini Significance 9 (4), 26-28, 2012 | 55 | 2012 |
| Change-point Analysis of the Public Mood in UK Twitter during the Brexit Referendum T Lansdall-Welfare, F Dzogang, N Cristianini IEEE International Conference on Data Mining (ICDM), 2016 | 53 | 2016 |
| The Anatomy of a Modular System for Media Content Analysis I Flaounas, T Lansdall-Welfare, P Antonakaki, N Cristianini arXiv preprint arXiv:1402.6208, 2014 | 51* | 2014 |
| Seasonal Fluctuations in Collective Mood Revealed by Wikipedia Searches and Twitter Posts F Dzogang, T Lansdall-Welfare, N Cristianini International Conference on Data Mining (ICDM), 2016 | 36 | 2016 |
| Analysing Mood Patterns in the United Kingdom through Twitter Content V Lampos, T Lansdall-Welfare, R Araya, N Cristianini arXiv preprint arXiv:1304.5507, 2013 | 36 | 2013 |
| Biased embeddings from wild data: Measuring, understanding and removing A Sutton, T Lansdall-Welfare, N Cristianini Advances in Intelligent Data Analysis XVII: 17th International Symposium …, 2018 | 34 | 2018 |
| On the coverage of science in the media: A big data study on the impact of the Fukushima disaster T Lansdall-Welfare, S Sudhahar, GA Veltri, N Cristianini 2014 IEEE International Conference on Big Data (Big Data), 60-66, 2014 | 34 | 2014 |
| Right for the right reason: Training agnostic networks S Jia, T Lansdall-Welfare, N Cristianini Advances in Intelligent Data Analysis XVII: 17th International Symposium …, 2018 | 27 | 2018 |
| Measuring Gender Bias in News Images S Jia, T Lansdall-Welfare, N Cristianini NewsWWW 2015 – 2nd workshop on Web and Data Science for News Publishing, 2015 | 23 | 2015 |
| Large-scale content analysis of historical newspapers in the town of Gorizia 1873–1914 N Cristianini, T Lansdall-Welfare, G Dato Historical Methods: A Journal of Quantitative and Interdisciplinary History …, 2018 | 15 | 2018 |
| Seasonal variation in antidepressant prescriptions, environmental light and web queries for seasonal affective disorder T Lansdall-Welfare, S Lightman, N Cristianini The British Journal of Psychiatry 215 (2), 481-484, 2019 | 14 | 2019 |
| Electionwatch: Detecting patterns in news coverage of us elections S Sudhahar, T Lansdall-Welfare, I Flaounas, N Cristianini (EACL) Proceedings of the 13th Conference of the European Chapter of the …, 2012 | 14* | 2012 |
| Discovering Periodic Patterns in Historical News F Dzogang, T Lansdall-Welfare, FMPN Team, N Cristianini PLoS One 11 (11), e0165736, 2016 | 11 | 2016 |
| History playground: a tool for discovering temporal trends in massive textual corpora T Lansdall-Welfare, N Cristianini Digital Scholarship in the Humanities 35 (2), 328-341, 2020 | 10 | 2020 |
| Big Data Analysis of News and Social Media Content I Flaounas, S Sudhahar, T Lansdall-Welfare, E Hensiger, N Cristianini Internet, Politics, Policy 2012 (IPP2012): Big Data, Big Challenges?, 2012 | 10 | 2012 |
Nello CristianiniUniversity of BathVerified email at bath.ac.uk
