Search Results - "Minot, Joshua R"

Sentiment analysis of medical record notes for lung cancer patients at the Department of Veterans Affairs by Elbers, Danne C, La, Jennifer, Minot, Joshua R, Gramling, Robert, Brophy, Mary T, Do, Nhan V, Fillmore, Nathanael R, Dodds, Peter S, Danforth, Christopher M

“…Natural language processing of medical records offers tremendous potential to improve the patient experience. Sentiment analysis of clinical notes has been…”
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Hurricanes and hashtags: Characterizing online collective attention for natural disasters by Arnold, Michael V, Dewhurst, David Rushing, Alshaabi, Thayer, Minot, Joshua R, Adams, Jane L, Danforth, Christopher M, Dodds, Peter Sheridan

“…We study collective attention paid towards hurricanes through the lens of n-grams on Twitter, a social media platform with global reach. Using hurricane name…”
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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 by Alshaabi, Thayer, Arnold, Michael V, Minot, Joshua R, Adams, Jane Lydia, Dewhurst, David Rushing, Reagan, Andrew J, Muhamad, Roby, Danforth, Christopher M, Dodds, Peter Sheridan

“…In confronting the global spread of the coronavirus disease COVID-19 pandemic we must have coordinated medical, operational, and political responses. In all…”
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Say their names: Resurgence in the collective attention toward Black victims of fatal police violence following the death of George Floyd by Wu, Henry H, Gallagher, Ryan J, Alshaabi, Thayer, Adams, Jane L, Minot, Joshua R, Arnold, Michael V, Welles, Brooke Foucault, Harp, Randall, Dodds, Peter Sheridan, Danforth, Christopher M

“…The murder of George Floyd by police in May 2020 sparked international protests and brought unparalleled levels of attention to the Black Lives Matter…”
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Ratioing the President: An exploration of public engagement with Obama and Trump on Twitter by Minot, Joshua R, Arnold, Michael V, Alshaabi, Thayer, Danforth, Christopher M, Dodds, Peter Sheridan

“…The past decade has witnessed a marked increase in the use of social media by politicians, most notably exemplified by the 45th President of the United States…”
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Computational timeline reconstruction of the stories surrounding Trump: Story turbulence, narrative control, and collective chronopathy by Dodds, Peter Sheridan, Minot, Joshua R, Arnold, Michael V, Alshaabi, Thayer, Adams, Jane Lydia, Reagan, Andrew J, Danforth, Christopher M

“…Measuring the specific kind, temporal ordering, diversity, and turnover rate of stories surrounding any given subject is essential to developing a complete…”
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The growing amplification of social media: measuring temporal and social contagion dynamics for over 150 languages on Twitter for 2009–2020 by Alshaabi, Thayer, Dewhurst, David Rushing, Minot, Joshua R., Arnold, Michael V., Adams, Jane L., Danforth, Christopher M., Dodds, Peter Sheridan

“…Working from a dataset of 118 billion messages running from the start of 2009 to the end of 2019, we identify and explore the relative daily use of over 150…”
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Allotaxonometry and rank-turbulence divergence: a universal instrument for comparing complex systems by 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.

“…Complex systems often comprise many kinds of components which vary over many orders of magnitude in size: Populations of cities in countries, individual and…”
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Quantifying Changes in the Language Used Around Mental Health on Twitter Over 10 Years: Observational Study by Stupinski, Anne Marie, Alshaabi, Thayer, Arnold, Michael V, Adams, Jane Lydia, Minot, Joshua R, Price, Matthew, Dodds, Peter Sheridan, Danforth, Christopher M

“…Mental health challenges are thought to affect approximately 10% of the global population each year, with many of those affected going untreated because of the…”
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The shocklet transform: a decomposition method for the identification of local, mechanism-driven dynamics in sociotechnical time series by Dewhurst, David Rushing, Alshaabi, Thayer, Kiley, Dilan, Arnold, Michael V., Minot, Joshua R., Danforth, Christopher M., Dodds, Peter Sheridan

“…We introduce a qualitative, shape-based, timescale-independent time-domain transform used to extract local dynamics from sociotechnical time series—termed the…”
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Storywrangler: A massive exploratorium for sociolinguistic, cultural, socioeconomic, and political timelines using Twitter by Alshaabi, Thayer, Adams, Jane L, Arnold, Michael V, Minot, Joshua R, Dewhurst, David R, Reagan, Andrew J, Danforth, Christopher M, Dodds, Peter Sheridan

“…In real time, Twitter strongly imprints world events, popular culture, and the day-to-day, recording an ever-growing compendium of language change. Vitally,…”
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Gauge against the Machine: Improving Representations within Sociotechnical Instruments to Enrich Context and Identify Biases by Minot, Joshua R

“…The proliferation of digital data across all areas of society has transformed our ability to hypothesize, study, and understand social systems. From this…”
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Say their names: Resurgence in the collective attention toward Black victims of fatal police violence following the death of George Floyd by Henry H Wu, Ryan J Gallagher, Thayer Alshaabi, Jane L Adams, Joshua R Minot, Michael V Arnold, Brooke Foucault Welles, Randall Harp, Peter Sheridan Dodds, Christopher M Danforth

“…The murder of George Floyd by police in May 2020 sparked international protests and brought unparalleled levels of attention to the Black Lives Matter…”
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Computational timeline reconstruction of the stories surrounding Trump: Story turbulence, narrative control, and collective chronopathy by Peter Sheridan Dodds, Joshua R. Minot, Michael V. Arnold, Thayer Alshaabi, Jane Lydia Adams, Andrew J. Reagan, Christopher M. Danforth

“…Measuring the specific kind, temporal ordering, diversity, and turnover rate of stories surrounding any given subject is essential to developing a complete…”
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The Resume Paradox: Greater Language Differences, Smaller Pay Gaps by Minot, Joshua R, Maier, Marc, Demarest, Bradford, Cheney, Nicholas, Danforth, Christopher M, Dodds, Peter Sheridan, Frank, Morgan R

“…Over the past decade, the gender pay gap has remained steady with women earning 84 cents for every dollar earned by men on average. Many studies explain this…”
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Interpretable bias mitigation for textual data: Reducing gender bias in patient notes while maintaining classification performance by Minot, Joshua R, Cheney, Nicholas, Maier, Marc, Elbers, Danne C, Danforth, Christopher M, Dodds, Peter Sheridan

“…Medical systems in general, and patient treatment decisions and outcomes in particular, are affected by bias based on gender and other demographic elements. As…”
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The incel lexicon: Deciphering the emergent cryptolect of a global misogynistic community by Gothard, Kelly, Dewhurst, David Rushing, Minot, Joshua R, Adams, Jane Lydia, Danforth, Christopher M, Dodds, Peter Sheridan

“…Evolving out of a gender-neutral framing of an involuntary celibate identity, the concept of `incels' has come to refer to an online community of men who bear…”
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Storywrangler: A massive exploratorium for sociolinguistic, cultural, socioeconomic, and political timelines using Twitter by Alshaabi, Thayer, Adams, Jane L, Arnold, Michael V, Minot, Joshua R, Dewhurst, David R, Reagan, Andrew J, Danforth, Christopher M, Dodds, Peter Sheridan

“…Sci.Adv. 7 eabe6534 (2021) In real-time, social media data strongly imprints world events, popular culture, and day-to-day conversations by millions of…”
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Say Their Names: Resurgence in the collective attention toward Black victims of fatal police violence following the death of George Floyd by Wu, Henry H, Gallagher, Ryan J, Alshaabi, Thayer, Adams, Jane L, Minot, Joshua R, Arnold, Michael V, Welles, Brooke Foucault, Harp, Randall, Dodds, Peter Sheridan, Danforth, Christopher M

“…The murder of George Floyd by police in May 2020 sparked international protests and renewed attention in the Black Lives Matter movement. Here, we characterize…”
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Quantifying language changes surrounding mental health on Twitter by Stupinski, Anne Marie, Alshaabi, Thayer, Arnold, Michael V, Adams, Jane Lydia, Minot, Joshua R, Price, Matthew, Dodds, Peter Sheridan, Danforth, Christopher M

“…Mental health challenges are thought to afflict around 10% of the global population each year, with many going untreated due to stigma and limited access to…”
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