Peter Sheridan Dodds

DeepAI AI Chat

Featured Co-authors

Yi Li
138 publications
Christopher M. Danforth
31 publications
James P. Bagrow
19 publications
Lewis Mitchell
17 publications
Thayer Alshaabi
12 publications
Jake Ryland Williams
10 publications
Michael V. Arnold
9 publications
Andrew J. Reagan
8 publications
Thomas McAndrew
8 publications
David Rushing Dewhurst
7 publications
Joshua R. Minot
7 publications

research

∙ 05/20/2023

Park visitation and walkshed demographics in the United States

A large and growing body of research demonstrates the value of local par...

0 Kelsey Linnell, et al. ∙

research

∙ 05/15/2023

An assessment of measuring local levels of homelessness through proxy social media signals

Recent studies suggest social media activity can function as a proxy for...

0 Yoshi Meke Bird, et al. ∙

research

∙ 05/04/2023

Curating corpora with classifiers: A case study of clean energy sentiment online

Well curated, large-scale corpora of social media posts containing broad...

0 Michael V. Arnold, et al. ∙

research

∙ 08/19/2022

Characterizing narrative time in books through fluctuations in power and danger arcs

While recent studies have focused on quantifying word usage to find the ...

10 Mikaela Irene Fudolig, et al. ∙

research

∙ 10/01/2021

Sentiment and structure in word co-occurrence networks on Twitter

We explore the relationship between context and happiness scores in poli...

1 Mikaela Irene Fudolig, et al. ∙

research

∙ 09/18/2021

Augmenting semantic lexicons using word embeddings and transfer learning

Sentiment-aware intelligent systems are essential to a wide array of app...

11 Thayer Alshaabi, et al. ∙

research

∙ 07/09/2021

Blending search queries with social media data to improve forecasts of economic indicators

The forecasting of political, economic, and public health indicators usi...

0 Yi Li, et al. ∙

research

∙ 06/18/2021

Say Their Names: Resurgence in the collective attention toward Black victims of fatal police violence following the death of George Floyd

The murder of George Floyd by police in May 2020 sparked international p...

0 Henry H. Wu, et al. ∙

research

∙ 06/02/2021

Quantifying language changes surrounding mental health on Twitter

Mental health challenges are thought to afflict around 10 population eac...

1 Anne Marie Stupinski, et al. ∙

research

∙ 05/25/2021

The incel lexicon: Deciphering the emergent cryptolect of a global misogynistic community

Evolving out of a gender-neutral framing of an involuntary celibate iden...

0 Kelly Gothard, et al. ∙

research

∙ 03/10/2021

Interpretable bias mitigation for textual data: Reducing gender bias in patient notes while maintaining classification performance

Medical systems in general, and patient treatment decisions and outcomes...

0 Joshua R. Minot, et al. ∙

research

∙ 08/05/2020

Generalized Word Shift Graphs: A Method for Visualizing and Explaining Pairwise Comparisons Between Texts

A common task in computational text analyses is to quantify how two corp...

0 Ryan J. Gallagher, et al. ∙

research

∙ 07/25/2020

Storywrangler: A massive exploratorium for sociolinguistic, cultural, socioeconomic, and political timelines using Twitter

In real-time, Twitter strongly imprints world events, popular culture, a...

0 Thayer Alshaabi, et al. ∙

research

∙ 06/15/2020

The sociospatial factors of death: Analyzing effects of geospatially-distributed variables in a Bayesian mortality model for Hong Kong

Human mortality is in part a function of multiple socioeconomic factors ...

0 Thayer Alshaabi, et al. ∙

research

∙ 03/07/2020

The growing echo chamber of social media: Measuring temporal and social contagion dynamics for over 150 languages on Twitter for 2009–2020

Working from a dataset of 118 billion messages running from the start of...

0 Thayer Alshaabi, et al. ∙

research

∙ 07/29/2019

Exploring Perceptions of Veganism

This project examined perceptions of the vegan lifestyle using surveys a...

0 Laura Jennings, et al. ∙

research

∙ 07/09/2019

Hahahahaha, Duuuuude, Yeeessss!: A two-parameter characterization of stretchable words and the dynamics of mistypings and misspellings

Stretched words like `heellllp' or `heyyyyy' are a regular feature of sp...

0 Tyler J. Gray, et al. ∙

research

∙ 06/27/2019

The shocklet transform: A decomposition method for the identification of local, mechanism-driven dynamics in sociotechnical time series

We introduce an unsupervised pattern recognition algorithm termed the Di...

0 David Rushing Dewhurst, et al. ∙

research

∙ 07/20/2018

Exposure to urban parks improves affect and reduces negativity on Twitter

Urbanization and the decline of access to nature have coincided with a r...

0 Aaron J. Schwartz, et al. ∙

research

∙ 05/25/2018

A Sentiment Analysis of Breast Cancer Treatment Experiences and Healthcare Perceptions Across Twitter

Background: Social media has the capacity to afford the healthcare indus...

0 Eric M. Clark, et al. ∙

research

∙ 03/26/2018

English verb regularization in books and tweets

The English language has evolved dramatically throughout its lifespan, t...

0 Tyler J. Gray, et al. ∙

research

∙ 06/24/2016

The emotional arcs of stories are dominated by six basic shapes

Advances in computing power, natural language processing, and digitizati...

0 Andrew J. Reagan, et al. ∙

research

∙ 06/22/2016

Divergent discourse between protests and counter-protests: #BlackLivesMatter and #AllLivesMatter

Since the shooting of Black teenager Michael Brown by White police offic...

0 Ryan J. Gallagher, et al. ∙

research

∙ 01/29/2016

Zipf's law is a consequence of coherent language production

The task of text segmentation may be undertaken at many levels in text a...

0 Jake Ryland Williams, et al. ∙

research

∙ 12/02/2015

Benchmarking sentiment analysis methods for large-scale texts: A case for using continuum-scored words and word shift graphs

The emergence and global adoption of social media has rendered possible ...

0 Andrew J. Reagan, et al. ∙

research

∙ 03/11/2015

Is language evolution grinding to a halt? The scaling of lexical turbulence in English fiction suggests it is not

Of basic interest is the quantification of the long term growth of a lan...

0 Eitan Adam Pechenick, et al. ∙

research

∙ 03/07/2015

Identifying missing dictionary entries with frequency-conserving context models

In an effort to better understand meaning from natural language texts, w...

0 Jake Ryland Williams, et al. ∙

research

∙ 01/05/2015

Characterizing the Google Books corpus: Strong limits to inferences of socio-cultural and linguistic evolution

It is tempting to treat frequency trends from the Google Books data sets...

0 Eitan Adam Pechenick, et al. ∙