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07/17/2023
Discovering collective narratives shifts in online discussions
Narrative is a foundation of human cognition and decision making. Becaus...
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05/16/2023
CPL-NoViD: Context-Aware Prompt-based Learning for Norm Violation Detection in Online Communities
Detecting norm violations in online communities is critical to maintaini...
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04/04/2023
A Data Fusion Framework for Multi-Domain Morality Learning
Language models can be trained to recognize the moral sentiment of text,...
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02/02/2023
#RoeOverturned: Twitter Dataset on the Abortion Rights Controversy
On June 24, 2022, the United States Supreme Court overturned landmark ru...
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01/16/2023
Data-Driven Estimation of Heterogeneous Treatment Effects
Estimating how a treatment affects different individuals, known as heter...
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12/07/2022
The Social Emotional Web
The social web has linked people on a global scale, transforming how we ...
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12/01/2022
Anger Breeds Controversy: Analyzing Controversy and Emotions on Reddit
Emotions play an important role in interpersonal interactions and social...
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10/31/2022
Using Emotion Embeddings to Transfer Knowledge Between Emotions, Languages, and Annotation Formats
The need for emotional inference from text continues to diversify as mor...
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10/28/2022
Leveraging Label Correlations in a Multi-label Setting: A Case Study in Emotion
Detecting emotions expressed in text has become critical to a range of f...
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04/08/2022
Infusing Knowledge from Wikipedia to Enhance Stance Detection
Stance detection infers a text author's attitude towards a target. This ...
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03/29/2022
Zero-shot meta-learning for small-scale data from human subjects
While developments in machine learning led to impressive performance gai...
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03/07/2022
Emotion Regulation and Dynamics of Moral Concerns During the Early COVID-19 Pandemic
The COVID-19 pandemic has upended daily life around the globe, posing a ...
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01/18/2022
Emergent Instabilities in Algorithmic Feedback Loops
Algorithms that aid human tasks, such as recommendation systems, are ubi...
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10/27/2021
Heterogeneous Effects of Software Patches in a Multiplayer Online Battle Arena Game
The popularity of online gaming has grown dramatically, driven in part b...
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09/10/2021
Speaker Turn Modeling for Dialogue Act Classification
Dialogue Act (DA) classification is the task of classifying utterances w...
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08/31/2021
DoGR: Disaggregated Gaussian Regression for Reproducible Analysis of Heterogeneous Data
Quantitative analysis of large-scale data is often complicated by the pr...
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05/30/2021
Pattern Discovery in Time Series with Byte Pair Encoding
The growing popularity of wearable sensors has generated large quantitie...
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04/15/2021
Detecting Polarized Topics in COVID-19 News Using Partisanship-aware Contextualized Topic Embeddings
Growing polarization of the news media has been blamed for fanning disag...
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04/02/2021
Limiting Tags Fosters Efficiency
Tagging facilitates information retrieval in social media and other onli...
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03/22/2021
A Directed, Bi-Populated Preferential Attachment Model with Applications to Analyzing the Glass Ceiling Effect
Preferential attachment, homophily and, their consequences such as the g...
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03/19/2021
Emergence of Structural Inequalities in Scientific Citation Networks
Structural inequalities persist in society, conferring systematic advant...
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02/22/2021
Individualized Context-Aware Tensor Factorization for Online Games Predictions
Individual behavior and decisions are substantially influenced by their ...
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01/26/2021
A Model of Densifying Collaboration Networks
Research collaborations provide the foundation for scientific advances, ...
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10/30/2020
Inherent Trade-offs in the Fair Allocation of Treatments
Explicit and implicit bias clouds human judgement, leading to discrimina...
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10/23/2020
Origins of Algorithmic Instabilities in Crowdsourced Ranking
Crowdsourcing systems aggregate decisions of many people to help users q...
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10/18/2020
The Leaky Pipeline in Physics Publishing
Women make up a shrinking portion of physics faculty in senior positions...
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09/27/2020
Moral Framing and Ideological Bias of News
News outlets are a primary source for many people to learn what is going...
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08/04/2020
Having a Bad Day? Detecting the Impact of Atypical Life Events Using Wearable Sensors
Life events can dramatically affect our psychological state and work per...
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06/11/2020
Gender disparity in the authorship of biomedical research publications during the COVID-19 pandemic
Preliminary evidence suggests that women, including female researchers, ...
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04/27/2020
Unequal Impact and Spatial Aggregation Distort COVID-19 Growth Rates
The COVID-19 pandemic has emerged as a global public health crisis. To m...
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04/27/2020
Systematic Biases in Aggregated COVID-19 Growth Rates
The COVID-19 pandemic has emerged as one of the greatest public health c...
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04/06/2020
Challenges in Forecasting Malicious Events from Incomplete Data
The ability to accurately predict cyber-attacks would enable organizatio...
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03/18/2020
TILES-2018: A longitudinal physiologic and behavioral data set of hospital workers
We present a novel longitudinal multimodal corpus of physiological and b...
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01/17/2020
Predictability limit of partially observed systems
Applications from finance to epidemiology and cyber-security require acc...
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11/26/2019
Collaboration Drives Individual Productivity
How does the number of collaborators affect individual productivity? Res...
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11/16/2019
Learning Behavioral Representations from Wearable Sensors
The ubiquity of mobile devices and wearable sensors offers unprecedented...
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10/28/2019
Learning Fair and Interpretable Representations via Linear Orthogonalization
To reduce human error and prejudice, many high-stakes decisions have bee...
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09/20/2019
Quantifying the Impact of Cognitive Biases in Question-Answering Systems
Crowdsourcing can identify high-quality solutions to problems; however, ...
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09/09/2019
Follow the Leader: Documents on the Leading Edge of Semantic Change Get More Citations
Diachronic word embeddings offer remarkable insights into the evolution ...
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08/23/2019
A Survey on Bias and Fairness in Machine Learning
With the widespread use of AI systems and applications in our everyday l...
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08/15/2019
Massive Multi-Agent Data-Driven Simulations of the GitHub Ecosystem
Simulating and predicting planetary-scale techno-social systems poses he...
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05/21/2019
Discovering Hidden Structure in High Dimensional Human Behavioral Data via Tensor Factorization
In recent years, the rapid growth in technology has increased the opport...
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04/30/2019
MixHop: Higher-Order Graph Convolution Architectures via Sparsified Neighborhood Mixing
Existing popular methods for semi-supervised learning with Graph Neural ...
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03/01/2019
Characterizing Activity on the Deep and Dark Web
The deep and darkweb (d2web) refers to limited access web sites that req...
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10/05/2018
Predicting and Explaining Behavioral Data with Structured Feature Space Decomposition
Modeling human behavioral data is challenging due to its scale, sparsene...
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09/07/2018
Model of Cognitive Dynamics Predicts Performance on Standardized Tests
In the modern knowledge economy, success demands sustained focus and hig...
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08/31/2018
Tensor Embedding: A Supervised Framework for Human Behavioral Data Mining and Prediction
Today's densely instrumented world offers tremendous opportunities for c...
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08/09/2018
Who Falls for Online Political Manipulation?
Social media, once hailed as a vehicle for democratization and the promo...
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06/08/2018
Discovering Signals from Web Sources to Predict Cyber Attacks
Cyber attacks are growing in frequency and severity. Over the past year ...
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05/08/2018