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09/19/2023
How Do Analysts Understand and Verify AI-Assisted Data Analyses?
Data analysis is challenging as it requires synthesizing domain knowledg...
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09/18/2023
How Do Data Analysts Respond to AI Assistance? A Wizard-of-Oz Study
Data analysis is challenging as analysts must navigate nuanced decisions...
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05/04/2023
Cognitive Reframing of Negative Thoughts through Human-Language Model Interaction
A proven therapeutic technique to overcome negative thoughts is to repla...
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03/24/2023
Scaling Expert Language Models with Unsupervised Domain Discovery
Large language models are typically trained densely: all parameters are ...
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11/04/2022
GLOBEM Dataset: Multi-Year Datasets for Longitudinal Human Behavior Modeling Generalization
Recent research has demonstrated the capability of behavior signals capt...
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10/27/2022
Gendered Mental Health Stigma in Masked Language Models
Mental health stigma prevents many individuals from receiving the approp...
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10/07/2022
Understanding and Supporting Debugging Workflows in Multiverse Analysis
Multiverse analysis-a paradigm for statistical analysis that considers a...
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08/05/2022
Branch-Train-Merge: Embarrassingly Parallel Training of Expert Language Models
We present Branch-Train-Merge (BTM), a communication-efficient algorithm...
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05/26/2022
Self-supervised Pretraining and Transfer Learning Enable Flu and COVID-19 Predictions in Small Mobile Sensing Datasets
Detailed mobile sensing data from phones, watches, and fitness trackers ...
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03/28/2022
Human-AI Collaboration Enables More Empathic Conversations in Text-based Peer-to-Peer Mental Health Support
Advances in artificial intelligence (AI) are enabling systems that augme...
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11/10/2021
What Makes Online Communities 'Better'? Measuring Values, Consensus, and Conflict across Thousands of Subreddits
Making online social communities 'better' is a challenging undertaking, ...
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09/11/2021
Making Online Communities 'Better': A Taxonomy of Community Values on Reddit
Many researchers studying online social communities seek to make such co...
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07/09/2021
Transformer-Based Behavioral Representation Learning Enables Transfer Learning for Mobile Sensing in Small Datasets
While deep learning has revolutionized research and applications in NLP ...
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04/27/2021
Leveraging Community and Author Context to Explain the Performance and Bias of Text-Based Deception Detection Models
Deceptive news posts shared in online communities can be detected with N...
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02/24/2021
Online Mobile App Usage as an Indicator of Sleep Behavior and Job Performance
Sleep is critical to human function, mediating factors like memory, mood...
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02/17/2021
Political Bias and Factualness in News Sharing across more than 100,000 Online Communities
As civil discourse increasingly takes place online, misinformation and t...
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01/19/2021
Towards Facilitating Empathic Conversations in Online Mental Health Support: A Reinforcement Learning Approach
Online peer-to-peer support platforms enable conversations between milli...
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09/21/2020
Adjusting for Confounders with Text: Challenges and an Empirical Evaluation Framework for Causal Inference
Leveraging text, such as social media posts, for causal inferences requi...
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09/17/2020
A Computational Approach to Understanding Empathy Expressed in Text-Based Mental Health Support
Empathy is critical to successful mental health support. Empathy measure...
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08/28/2020
CORAL: COde RepresentAtion Learning with Weakly-Supervised Transformers for Analyzing Data Analysis
Large scale analysis of source code, and in particular scientific source...
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08/17/2020
Population-Scale Study of Human Needs During the COVID-19 Pandemic: Analysis and Implications
Most work to date on mitigating the COVID-19 pandemic is focused urgentl...
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07/10/2020
Boba: Authoring and Visualizing Multiverse Analyses
Multiverse analysis is an approach to data analysis in which all "reason...
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05/19/2020
The Effect of Moderation on Online Mental Health Conversations
Many people struggling with mental health issues are unable to access ad...
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10/30/2019
Paths Explored, Paths Omitted, Paths Obscured: Decision Points Selective Reporting in End-to-End Data Analysis
Drawing reliable inferences from data involves many, sometimes arbitrary...
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04/04/2019
Goal-setting And Achievement In Activity Tracking Apps: A Case Study Of MyFitnessPal
Activity tracking apps often make use of goals as one of their core moti...
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12/04/2018
Learning Individualized Cardiovascular Responses from Large-scale Wearable Sensors Data
We consider the problem of modeling cardiovascular responses to physical...
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02/25/2018
I'll Be Back: On the Multiple Lives of Users of a Mobile Activity Tracking Application
Mobile health applications that track activities, such as exercise, slee...
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12/15/2017
Modeling Individual Cyclic Variation in Human Behavior
Cycles are fundamental to human health and behavior. However, modeling c...
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02/24/2017
How Gamification Affects Physical Activity: Large-scale Analysis of Walking Challenges in a Mobile Application
Gamification represents an effective way to incentivize user behavior ac...
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05/14/2016
Large-scale Analysis of Counseling Conversations: An Application of Natural Language Processing to Mental Health
Mental illness is one of the most pressing public health issues of our t...
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05/28/2014