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Tom Lansdall-Welfare
Tom Lansdall-Welfare
Ripjar Ltd
Verified email at ripjar.com
Title
Cited by
Cited by
Year
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
1302012
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
125*2013
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
1162017
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
1072016
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
622016
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
522016
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
Nowcasting the mood of the nation
T Lansdall-Welfare, V Lampos, N Cristianini
Significance 9 (4), 26-28, 2012
512012
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
362016
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
362013
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
332018
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
332014
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
272018
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
212015
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
162018
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
13*2012
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
122019
Discovering Periodic Patterns in Historical News
F Dzogang, T Lansdall-Welfare, FMPN Team, N Cristianini
PLoS One 11 (11), e0165736, 2016
112016
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
102020
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
92012
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Articles 1–20