63 citations · 240 across the 18 of their papers we have counts for
18 papers
The triumphs and tragedies of fandom: Emotional arcs in NFL tweets
Elisabeth Kollrack, Michael V. Arnold, Peter Sheridan Dodds +1
Online fandom communities influence public opinion toward movies, musicians, and sports teams. Using a corpus of game-referencing tweets, we measure variation in sentiment toward N…
A suite of allotaxonometric tools for the comparison of complex systems using rank-turbulence divergence
Jonathan St-Onge, Ashley M. A. Fehr, Carter Ward +6
Describing and comparing complex systems requires principled, theoretically grounded tools. Built around the phenomenon of type turbulence, allotaxonographs provide map-and-list vi…
An assessment of measuring local levels of homelessness through proxy social media signals
Yoshi Meke Bird, Sarah E. Grobe, Michael V. Arnold +5
Recent studies suggest social media activity can function as a proxy for measures of state-level public health, detectable through natural language processing. We present results o…
Curating corpora with classifiers: A case study of clean energy sentiment online
Michael V. Arnold, Peter Sheridan Dodds, Christopher M. Danforth
Well curated, large-scale corpora of social media posts containing broad public opinion offer an alternative data source to complement traditional surveys. While surveys are effect…
Augmenting semantic lexicons using word embeddings and transfer learning
Thayer Alshaabi, Colin M. Van Oort, Mikaela Irene Fudolig +3
Sentiment-aware intelligent systems are essential to a wide array of applications. These systems are driven by language models which broadly fall into two paradigms: Lexicon-based…
Ousiometrics: The essence of meaning aligns with a power-danger-structure framework instead of valence-arousal-dominance
P. S. Dodds, T. Alshaabi, M. I. Fudolig +7
From work emerging through the middle of the 20th century, the essence of meaning has become widely accepted as being described by the three orthogonal dimensions of valence, arous…
Sentiment and structure in word co-occurrence networks on Twitter
Mikaela Irene Fudolig, Thayer Alshaabi, Michael V. Arnold +2
We explore the relationship between context and happiness scores in political tweets using word co-occurrence networks, where nodes in the network are the words, and the weight of…
Say Their Names: Resurgence in the collective attention toward Black victims of fatal police violence following the death of George Floyd
Henry H. Wu, Ryan J. Gallagher, Thayer Alshaabi +7
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 ways in which the on…
Quantifying language changes surrounding mental health on Twitter
Anne Marie Stupinski, Thayer Alshaabi, Michael V. Arnold +5
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 services. Here, we expl…
Long-term word frequency dynamics derived from Twitter are corrupted: A bespoke approach to detecting and removing pathologies in ensembles of time series
P. S. Dodds, J. R. Minot, M. V. Arnold +5
Maintaining the integrity of long-term data collection is an essential scientific practice. As a field evolves, so too will that field's measurement instruments and data storage sy…
Probability-turbulence divergence: A tunable allotaxonometric instrument for comparing heavy-tailed categorical distributions
P. S. Dodds, J. R. Minot, M. V. Arnold +4
Real-world complex systems often comprise many distinct types of elements as well as many more types of networked interactions between elements. When the relative abundances of typ…
Computational timeline reconstruction of the stories surrounding Trump: Story turbulence, narrative control, and collective chronopathy
P. S. Dodds, J. R. Minot, M. V. Arnold +4
Measuring the specific kind, temporal ordering, diversity, and turnover rate of stories surrounding any given subject is essential to developing a complete reckoning of that subjec…
Ratioing the President: An exploration of public engagement with Obama and Trump on Twitter
Joshua R. Minot, Michael V. Arnold, Thayer Alshaabi +2
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 (POTUS), Donald Trump…
Divergent modes of online collective attention to the COVID-19 pandemic are associated with future caseload variance
David Rushing Dewhurst, Thayer Alshaabi, Michael V. Arnold +3
Using a random 10% sample of tweets authored from 2019-09-01 through 2020-04-30, we analyze the dynamic behavior of words (1-grams) used on Twitter to describe the ongoing COVID-19…
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, J. R. Minot, M. V. Arnold +6
In confronting the global spread of the coronavirus disease COVID-19 pandemic we must have coordinated medical, operational, and political responses. In all efforts, data is crucia…
The growing amplification of social media: Measuring temporal and social contagion dynamics for over 150 languages on Twitter for 2009-2020
Thayer Alshaabi, David R. Dewhurst, Joshua R. Minot +4
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 languages on Twitter. W…
Allotaxonometry and rank-turbulence divergence: A universal instrument for comparing complex systems
P. S. Dodds, J. R. Minot, M. V. Arnold +7
Complex systems often comprise many kinds of components which vary over many orders of magnitude in size: Populations of cities in countries, individual and corporate wealth in eco…
Fame and Ultrafame: Measuring and comparing daily levels of `being talked about' for United States' presidents, their rivals, God, countries, and K-pop
Peter Sheridan Dodds, Joshua R. Minot, Michael V. Arnold +5
When building a global brand of any kind -- a political actor, clothing style, or belief system -- developing widespread awareness is a primary goal. Short of knowing any of the st…