20 citations · 72 across the 17 of their papers we have counts for
17 papers
Gender Disparities in LLM-Based Intimate Partner Violence Detection
Tabia Tanzin Prama, Mikaela Irene Fudolig, Abigail M. Crocker +2
Intimate Partner Violence (IPV) is a major public health concern, and large language models (LLMs) are increasingly used for support and information-seeking in sensitive domains. W…
A Formative Study of Brief Affective Text as a Complement to Wearable Sensing for Longitudinal Student Health Monitoring
Tamunotonye Harry, Johanna Hidalgo, Matthew Price +7
Wearable devices capture physiological and behavioral data with increasing fidelity, but the psychological context shaping these outcomes is difficult to recover from sensor data a…
Taste for Privacy: How Context, Identity, and Lived-Experience Shape Information Sharing Preferences
Juniper Lovato, Laurent Hébert-Dufresne, Mohsen Ghasemizade +6
Privacy preferences are not fixed individual traits, they depend on context and lived experiences. In this study, we analyze 2,912 survey responses from 782 college students collec…
Identifying Body Composition Measures That Correlate with Self-Compassion and Social Support
Enerson Poon, Mikaela Irene Fudolig, Johanna E. Hidalgo +8
This study explores the relationship between body composition metrics, self-compassion, and social support among college students. Using seasonal body composition data from the InB…
Collective sleep and activity patterns of college students from wearable devices
Mikaela Irene Fudolig, Laura S. P. Bloomfield, Matthew Price +11
To optimize interventions for improving wellness, it is essential to understand habits, which wearable devices can measure with greater precision. Using high temporal resolution bi…
Tokens, the oft-overlooked appetizer: Large language models, the distributional hypothesis, and meaning
Julia Witte Zimmerman, Denis Hudon, Kathryn Cramer +9
Tokenization is a necessary component within the current architecture of many language mod-els, including the transformer-based large language models (LLMs) of Generative AI, yet i…
A blind spot for large language models: Supradiegetic linguistic information
Julia Witte Zimmerman, Denis Hudon, Kathryn Cramer +5
Large Language Models (LLMs) like ChatGPT reflect profound changes in the field of Artificial Intelligence, achieving a linguistic fluency that is impressively, even shockingly, hu…
Park visitation and walkshed demographics in the United States
Kelsey Linnell, Mikaela Fudolig, Laura Bloomfield +5
A large and growing body of research demonstrates the value of local parks to mental and physical well-being. Recently, researchers have begun using passive digital data sources to…
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…
A decomposition of book structure through ousiometric fluctuations in cumulative word-time
Mikaela Irene Fudolig, Thayer Alshaabi, Kathryn Cramer +2
While quantitative methods have been used to examine changes in word usage in books, studies have focused on overall trends, such as the shapes of narratives, which are independent…
Spatial changes in park visitation at the onset of the pandemic
Kelsey Linnell, Mikaela Fudolig, Aaron Schwartz +4
The COVID-19 pandemic disrupted the mobility patterns of a majority of Americans beginning in March 2020. Despite the beneficial, socially distanced activity offered by outdoor rec…
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…
Internal migration and mobile communication patterns among pairs with strong ties
Mikaela Irene D. Fudolig, Daniel Monsivais, Kunal Bhattacharya +2
Using large-scale call detail records of anonymised mobile phone service subscribers with demographic and location information, we investigate how a long-distance residential move…
Link-centric analysis of variation by demographics in mobile phone communication patterns
Mikaela Irene D. Fudolig, Kunal Bhattacharya, Daniel Monsivais +2
We present a link-centric approach to study variation in the mobile phone communication patterns of individuals. Unlike most previous research on call detail records that focused o…
Different patterns of social closeness observed in mobile phone communication
Mikaela Irene D. Fudolig, Daniel Monsivais, Kunal Bhattacharya +2
We analyze a large-scale mobile phone call dataset containing information on the age, gender, and billing locality of users to get insight into social closeness in pairs of individ…