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Joshua R. Minot
Publication Activity (10 Years)
Years Active: 2019-2023
Publications (10 Years): 21
Top Topics
Von Mises
Textual Data
Social Media
Fairy Tales
Top Venues
CoRR
EPJ Data Sci.
ACM Trans. Comput. Heal.
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Publications
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Joshua R. Minot
,
Marc Maier
,
Bradford Demarest
,
Nicholas Cheney
,
Christopher M. Danforth
,
Peter Sheridan Dodds
,
Morgan R. Frank
The Resume Paradox: Greater Language Differences, Smaller Pay Gaps.
CoRR
(2023)
Peter Sheridan Dodds
,
Joshua R. Minot
,
Michael V. Arnold
,
Thayer Alshaabi
,
Jane Lydia Adams
,
David Rushing Dewhurst
,
Tyler J. Gray
,
Morgan R. Frank
,
Andrew J. Reagan
,
Christopher M. Danforth
Allotaxonometry and rank-turbulence divergence: a universal instrument for comparing complex systems.
EPJ Data Sci.
12 (1) (2023)
Joshua R. Minot
,
Nicholas Cheney
,
Marc Maier
,
Danne C. Elbers
,
Christopher M. Danforth
,
Peter Sheridan Dodds
Interpretable Bias Mitigation for Textual Data: Reducing Genderization in Patient Notes While Maintaining Classification Performance.
ACM Trans. Comput. Heal.
3 (4) (2022)
Henry H. Wu
,
Ryan J. Gallagher
,
Thayer Alshaabi
,
Jane Lydia Adams
,
Joshua R. Minot
,
Michael V. Arnold
,
Brooke Foucault Welles
,
Randall Harp
,
Peter Sheridan Dodds
,
Christopher M. Danforth
Say Their Names: Resurgence in the collective attention toward Black victims of fatal police violence following the death of George Floyd.
CoRR
(2021)
Anne Marie Stupinski
,
Thayer Alshaabi
,
Michael V. Arnold
,
Jane Lydia Adams
,
Joshua R. Minot
,
Matthew Price
,
Peter Sheridan Dodds
,
Christopher M. Danforth
Quantifying language changes surrounding mental health on Twitter.
CoRR
(2021)
Thayer Alshaabi
,
David Rushing Dewhurst
,
Joshua R. Minot
,
Michael V. Arnold
,
Jane Lydia Adams
,
Christopher M. Danforth
,
Peter Sheridan Dodds
The growing amplification of social media: measuring temporal and social contagion dynamics for over 150 languages on Twitter for 2009-2020.
EPJ Data Sci.
10 (1) (2021)
Peter Sheridan Dodds
,
Thayer Alshaabi
,
Mikaela Irene D. Fudolig
,
Julia Witte Zimmerman
,
Juniper Lovato
,
Shawn Beaulieu
,
Joshua R. Minot
,
Michael V. Arnold
,
Andrew J. Reagan
,
Christopher M. Danforth
Ousiometrics and Telegnomics: The essence of meaning conforms to a two-dimensional powerful-weak and dangerous-safe framework with diverse corpora presenting a safety bias.
CoRR
(2021)
Kelly Gothard
,
David Rushing Dewhurst
,
Joshua R. Minot
,
Jane Lydia Adams
,
Christopher M. Danforth
,
Peter Sheridan Dodds
The incel lexicon: Deciphering the emergent cryptolect of a global misogynistic community.
CoRR
(2021)
Joshua R. Minot
,
Nicholas Cheney
,
Marc Maier
,
Danne C. Elbers
,
Christopher M. Danforth
,
Peter Sheridan Dodds
Interpretable bias mitigation for textual data: Reducing gender bias in patient notes while maintaining classification performance.
CoRR
(2021)
Thayer Alshaabi
,
David Rushing Dewhurst
,
Joshua R. Minot
,
Michael V. Arnold
,
Jane Lydia Adams
,
Christopher M. Danforth
,
Peter Sheridan Dodds
The growing echo chamber of social media: Measuring temporal and social contagion dynamics for over 150 languages on Twitter for 2009-2020.
CoRR
(2020)
Thayer Alshaabi
,
Joshua R. Minot
,
Michael V. Arnold
,
Jane Lydia Adams
,
David Rushing Dewhurst
,
Andrew J. Reagan
,
R. Muhamad
,
Christopher M. Danforth
,
Peter Sheridan Dodds
How the world's collective attention is being paid to a pandemic: COVID-19 related 1-gram time series for 24 languages on Twitter.
CoRR
(2020)
Peter Sheridan Dodds
,
Joshua R. Minot
,
Michael V. Arnold
,
Thayer Alshaabi
,
Jane Lydia Adams
,
David Rushing Dewhurst
,
Andrew J. Reagan
,
Christopher M. Danforth
Probability-turbulence divergence: A tunable allotaxonometric instrument for comparing heavy-tailed categorical distributions.
CoRR
(2020)
Peter Sheridan Dodds
,
Joshua R. Minot
,
Michael V. Arnold
,
Thayer Alshaabi
,
Jane Lydia Adams
,
David Rushing Dewhurst
,
Andrew J. Reagan
,
Christopher M. Danforth
Long-term word frequency dynamics derived from Twitter are corrupted: A bespoke approach to detecting and removing pathologies in ensembles of time series.
CoRR
(2020)
David Rushing Dewhurst
,
Thayer Alshaabi
,
Dilan Kiley
,
Michael V. Arnold
,
Joshua R. Minot
,
Christopher M. Danforth
,
Peter Sheridan Dodds
The shocklet transform: a decomposition method for the identification of local, mechanism-driven dynamics in sociotechnical time series.
EPJ Data Sci.
9 (1) (2020)
Michael V. Arnold
,
David Rushing Dewhurst
,
Thayer Alshaabi
,
Joshua R. Minot
,
Jane Lydia Adams
,
Christopher M. Danforth
,
Peter Sheridan Dodds
Hurricanes and hashtags: Characterizing online collective attention for natural disasters.
CoRR
(2020)
Thayer Alshaabi
,
Jane Lydia Adams
,
Michael V. Arnold
,
Joshua R. Minot
,
David Rushing Dewhurst
,
Andrew J. Reagan
,
Christopher M. Danforth
,
Peter Sheridan Dodds
Storywrangler: A massive exploratorium for sociolinguistic, cultural, socioeconomic, and political timelines using Twitter.
CoRR
(2020)
Joshua R. Minot
,
Michael V. Arnold
,
Thayer Alshaabi
,
Christopher M. Danforth
,
Peter Sheridan Dodds
Ratioing the President: An exploration of public engagement with Obama and Trump on Twitter.
CoRR
(2020)
David Rushing Dewhurst
,
Thayer Alshaabi
,
Michael V. Arnold
,
Joshua R. Minot
,
Christopher M. Danforth
,
Peter Sheridan Dodds
Divergent modes of online collective attention to the COVID-19 pandemic are associated with future caseload variance.
CoRR
(2020)
Peter Sheridan Dodds
,
Joshua R. Minot
,
Michael V. Arnold
,
Thayer Alshaabi
,
Jane Lydia Adams
,
Andrew J. Reagan
,
Christopher M. Danforth
Computational timeline reconstruction of the stories surrounding Trump: Story turbulence, narrative control, and collective chronopathy.
CoRR
(2020)
Peter Sheridan Dodds
,
Joshua R. Minot
,
Michael V. Arnold
,
Thayer Alshaabi
,
Jane Lydia Adams
,
David Rushing Dewhurst
,
Andrew J. Reagan
,
Christopher M. Danforth
Fame and Ultrafame: Measuring and comparing daily levels of 'being talked about' for United States' presidents, their rivals, God, countries, and K-pop.
CoRR
(2019)
David Rushing Dewhurst
,
Thayer Alshaabi
,
Dilan Kiley
,
Michael V. Arnold
,
Joshua R. Minot
,
Christopher M. Danforth
,
Peter Sheridan Dodds
The shocklet transform: A decomposition method for the identification of local, mechanism-driven dynamics in sociotechnical time series.
CoRR
(2019)