| How the world’s collective attention is being paid to a pandemic: COVID-19 related n-gram time series for 24 languages on Twitter T Alshaabi, MV Arnold, JR Minot, JL Adams, DR Dewhurst, AJ Reagan, ... Plos one 16 (1), e0244476, 2021 | 83 | 2021 |
| Storywrangler: A massive exploratorium for sociolinguistic, cultural, socioeconomic, and political timelines using Twitter T Alshaabi, JL Adams, MV Arnold, JR Minot, DR Dewhurst, AJ Reagan, ... Science advances 7 (29), eabe6534, 2021 | 48 | 2021 |
| The growing amplification of social media: Measuring temporal and social contagion dynamics for over 150 languages on Twitter for 2009–2020 T Alshaabi, DR Dewhurst, JR Minot, MV Arnold, JL Adams, CM Danforth, ... EPJ data science 10 (1), 15, 2021 | 44 | 2021 |
| Allotaxonometry and rank-turbulence divergence: A universal instrument for comparing complex systems PS Dodds, JR Minot, MV Arnold, T Alshaabi, JL Adams, DR Dewhurst, ... EPJ Data Science 12 (1), 37, 2023 | 31 | 2023 |
| Say Their Names: Resurgence in the collective attention toward Black victims of fatal police violence following the death of George Floyd HH Wu, RJ Gallagher, T Alshaabi, JL Adams, JR Minot, MV Arnold, ... PLoS one 18 (1), e0279225, 2023 | 28 | 2023 |
| Ratioing the President: An exploration of public engagement with Obama and Trump on Twitter JR Minot, MV Arnold, T Alshaabi, CM Danforth, PS Dodds PloS one 16 (4), e0248880, 2021 | 25 | 2021 |
| Sentiment and structure in word co-occurrence networks on Twitter MI Fudolig, T Alshaabi, MV Arnold, CM Danforth, PS Dodds Applied Network Science 7 (1), 1-27, 2022 | 18 | 2022 |
| Computational timeline reconstruction of the stories surrounding Trump: Story turbulence, narrative control, and collective chronopathy PS Dodds, JR Minot, MV Arnold, T Alshaabi, JL Adams, AJ Reagan, ... PloS one 16 (12), e0260592, 2021 | 15 | 2021 |
| Divergent modes of online collective attention to the COVID-19 pandemic are associated with future caseload variance DR Dewhurst, T Alshaabi, MV Arnold, JR Minot, CM Danforth, PS Dodds arXiv preprint arXiv:2004.03516, 2020 | 15 | 2020 |
| Fame and Ultrafame: Measuring and comparing daily levels ofbeing talked about'for United States' presidents, their rivals, God, countries, and K-pop PS Dodds, JR Minot, MV Arnold, T Alshaabi, JL Adams, DR Dewhurst, ... arXiv preprint arXiv:1910.00149, 2019 | 15 | 2019 |
| The growing echo chamber of social media: Measuring temporal and social contagion dynamics for over 150 languages on Twitter for 2009--2020 T Alshaabi, DR Dewhurst, JR Minot, MV Arnold, JL Adams, CM Danforth, ... arXiv preprint arXiv:2003.03667, 2020 | 14 | 2020 |
| Hurricanes and hashtags: Characterizing online collective attention for natural disasters MV Arnold, DR Dewhurst, T Alshaabi, JR Minot, JL Adams, CM Danforth, ... PLoS one 16 (5), e0251762, 2021 | 11 | 2021 |
| The shocklet transform: a decomposition method for the identification of local, mechanism-driven dynamics in sociotechnical time series DR Dewhurst, T Alshaabi, D Kiley, MV Arnold, JR Minot, CM Danforth, ... EPJ Data Science 9 (1), 3, 2020 | 11 | 2020 |
| Quantifying Changes in the Language Used Around Mental Health on Twitter Over 10 Years: Observational Study AM Stupinski, T Alshaabi, MV Arnold, JL Adams, JR Minot, M Price, ... JMIR Mental Health 9 (3), e33685, 2022 | 10 | 2022 |
| The sleep loss insult of Spring Daylight Savings in the US is observable in Twitter activity K Linnell, M Arnold, T Alshaabi, T McAndrew, J Lim, PS Dodds, ... Journal of big data 8, 1-17, 2021 | 7 | 2021 |
| Long-term word frequency dynamics derived from Twitter are corrupted: A bespoke approach to detecting and removing pathologies in ensembles of time series PS Dodds, JR Minot, MV Arnold, T Alshaabi, JL Adams, DR Dewhurst, ... arXiv preprint arXiv:2008.11305, 2020 | 6 | 2020 |
| Fame and Ultrafame: Measuring and comparing daily levels of ‘being talked about’for United States’ presidents, their rivals PS Dodds, JR Minot, MV Arnold, T Alshaabi, JL Adams, DR Dewhurst, ... God, countries, and K-pop. arXiv 191000149, 2019 | 6 | 2019 |
| How the world’s collective attention is being paid to a pandemic: COVID-19 related 1-gram time series for 24 languages on Twitter. arXiv 2020 T Alshaabi, JR Minot, MV Arnold, JL Adams, DR Dewhurst, AJ Reagan, ... arXiv preprint arXiv:2003.12614, 0 | 6 | |
| Twitter misogyny associated with Hillary Clinton increased throughout the 2016 US election campaign M Weaving, T Alshaabi, MV Arnold, K Blake, CM Danforth, PS Dodds, ... Scientific Reports 13 (1), 5266, 2023 | 4 | 2023 |
| Augmenting semantic lexicons using word embeddings and transfer learning T Alshaabi, CM Van Oort, MI Fudolig, MV Arnold, CM Danforth, PS Dodds Frontiers in Artificial Intelligence 4, 783778, 2022 | 4 | 2022 |
Peter Sheridan DoddsProfessor/Director, Computational Story Lab, Vermont Complex Systems Center, UVMVerified email at uvm.edu
