Divergent discourse between protests and counter-protests: #BlackLivesMatter and #AllLivesMatter von Gallagher, Ryan J, Reagan, Andrew J, Danforth, Christopher M, Dodds, Peter Sheridan

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Climate Change Sentiment on Twitter: An Unsolicited Public Opinion Poll von Cody, Emily M, Reagan, Andrew J, Mitchell, Lewis, Dodds, Peter Sheridan, Danforth, Christopher M

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Social media usage patterns during natural hazards von Niles, Meredith T, Emery, Benjamin F, Reagan, Andrew J, Dodds, Peter Sheridan, Danforth, Christopher M

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The emotional arcs of stories are dominated by six basic shapes von Reagan, Andrew J, Mitchell, Lewis, Kiley, Dilan, Danforth, Christopher M, Dodds, Peter Sheridan

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Human language reveals a universal positivity bias von Dodds, Peter Sheridan, Clark, Eric M., Desu, Suma, Frank, Morgan R., Reagan, Andrew J., Williams, Jake Ryland, Mitchell, Lewis, Harris, Kameron Decker, Kloumann, Isabel M., Bagrow, James P., Megerdoomian, Karine, McMahon, Matthew T., Tivnan, Brian F., Danforth, Christopher M.

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How the world's collective attention is being paid to a pandemic: COVID-19 related n-gram time series for 24 languages on Twitter von Alshaabi, Thayer, Arnold, Michael, Minot, Joshua R., Adams, Jane Lydia, Dewhurst, David Rushing, Reagan, Andrew J., Muhamad, Roby, Danforth, Christopher M., Dodds, Peter Sheridan

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Generalized word shift graphs: a method for visualizing and explaining pairwise comparisons between texts von Gallagher, Ryan J., Frank, Morgan R., Mitchell, Lewis, Schwartz, Aaron J., Reagan, Andrew J., Danforth, Christopher M., Dodds, Peter Sheridan

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Computational timeline reconstruction of the stories surrounding Trump: Story turbulence, narrative control, and collective chronopathy von Dodds, Peter Sheridan, Minot, Joshua R., Arnold, Michael V., Alshaabi, Thayer, Adams, Jane Lydia, Reagan, Andrew J., Danforth, Christopher M.

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English verb regularization in books and tweets von Gray, Tyler J, Reagan, Andrew J, Dodds, Peter Sheridan, Danforth, Christopher M

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The Lexicocalorimeter: Gauging public health through caloric input and output on social media von Alajajian, Sharon E, Williams, Jake Ryland, Reagan, Andrew J, Alajajian, Stephen C, Frank, Morgan R, Mitchell, Lewis, Lahne, Jacob, Danforth, Christopher M, Dodds, Peter Sheridan

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Sentiment analysis methods for understanding large-scale texts: a case for using continuum-scored words and word shift graphs von Reagan, Andrew J, Danforth, Christopher M, Tivnan, Brian, Williams, Jake Ryland, Dodds, Peter Sheridan

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Forecasting the onset and course of mental illness with Twitter data von Reece, Andrew G., Reagan, Andrew J., Lix, Katharina L. M., Dodds, Peter Sheridan, Danforth, Christopher M., Langer, Ellen J.

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Tracking Climate Change through the Spatiotemporal Dynamics of the Teletherms, the Statistically Hottest and Coldest Days of the Year von Dodds, Peter Sheridan, Mitchell, Lewis, Reagan, Andrew J, Danforth, Christopher M

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Predicting Flow Reversals in a Computational Fluid Dynamics Simulated Thermosyphon Using Data Assimilation von Reagan, Andrew J, Dubief, Yves, Dodds, Peter Sheridan, Danforth, Christopher M

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Allotaxonometry and rank-turbulence divergence: a universal instrument for comparing complex systems von Dodds, Peter Sheridan, Minot, Joshua R., Arnold, Michael V., Alshaabi, Thayer, Adams, Jane Lydia, Dewhurst, David Rushing, Gray, Tyler J., Frank, Morgan R., Reagan, Andrew J., Danforth, Christopher M.

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Reply to Garcia et al: Common mistakes in measuring frequency-dependent word characteristics von Dodds, Peter Sheridan, Clark, Eric M., Desu, Suma, Frank, Morgan R., Reagan, Andrew J., Williams, Jake Ryland, Mitchell, Lewis, Harris, Kameron Decker, Kloumann, Isabel M., Bagrow, James P., Megerdoomian, Karine, McMahon, Matthew T., Tivnan, Brian F., Danforth, Christopher M.

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Storywrangler: A massive exploratorium for sociolinguistic, cultural, socioeconomic, and political timelines using Twitter von Alshaabi, Thayer, Adams, Jane L., Arnold, Michael V., Minot, Joshua R., Dewhurst, David R., Reagan, Andrew J., Danforth, Christopher M., Dodds, Peter Sheridan

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Computational timeline reconstruction of the stories surrounding Trump: Story turbulence, narrative control, and collective chronopathy von Peter Sheridan Dodds, Joshua R. Minot, Michael V. Arnold, Thayer Alshaabi, Jane Lydia Adams, Andrew J. Reagan, Christopher M. Danforth

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Climate Change Sentiment on Twitter: An Unsolicited Public Opinion Poll: e0136092 von Cody, Emily M, Reagan, Andrew J, Mitchell, Lewis, Dodds, Peter Sheridan, Danforth, Christopher M

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Towards a science of human stories: using sentiment analysis and emotional arcs to understand the building blocks of complex social systems von Reagan, Andrew J

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