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05/16/2023
Measuring Stereotypes using Entity-Centric Data
Stereotypes inform how we present ourselves and others, and in turn how ...
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03/03/2023
Answering Questions Over Knowledge Graphs Using Logic Programming Along with Language Models
Question Answering over Knowledge Graphs (KGQA) is the task of answering...
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08/03/2022
Mutual Information Scoring: Increasing Interpretability in Categorical Clustering Tasks with Applications to Child Welfare Data
Youth in the American foster care system are significantly more likely t...
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06/14/2022
A Data-Driven Simulation of the New York State Foster Care System
We introduce an analytic pipeline to model and simulate youth trajectori...
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03/16/2022
NELA-Local: A Dataset of U.S. Local News Articles for the Study of County-level News Ecosystems
In this paper, we present a dataset of over 1.4M online news articles fr...
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09/16/2021
Incentives in Two-sided Matching Markets with Prediction-enhanced Preference-formation
Two-sided matching markets have long existed to pair agents in the absen...
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05/10/2021
Friend or Foe: A Review and Synthesis of Computational Models of the Identity Labeling Problem
We introduce the identity labeling problem - given an individual in a so...
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05/10/2021
Who Gets What, According to Whom? An Analysis of Fairness Perceptions in Service Allocation
Algorithmic fairness research has traditionally been linked to the disci...
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03/04/2021
An Agent-based Model to Evaluate Interventions on Online Dating Platforms to Decrease Racial Homogamy
Perhaps the most controversial questions in the study of online platform...
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11/23/2020
An analysis of replies to Trump's tweets
Donald Trump has tweeted thousands of times during his presidency. These...
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06/20/2020
MDR Cluster-Debias: A Nonlinear WordEmbedding Debiasing Pipeline
Existing methods for debiasing word embeddings often do so only superfic...
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04/25/2020
When do Word Embeddings Accurately Reflect Surveys on our Beliefs About People?
Social biases are encoded in word embeddings. This presents a unique opp...
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01/09/2020
Theory In, Theory Out: The uses of social theory in machine learning for social science
Research at the intersection of machine learning and the social sciences...
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01/09/2020
