Search Results for author:
Found 7 papers, 2 papers with code
Measuring Social Dimensions of Self-Presentation in Social Media Biographies with an Identity-based Approach
Social media users on sites like Twitter, Instagram, and Tiktok use the profile description, or bio, field of user profiles to present themselves to the world.
Domain Specific Question Answering Over Knowledge Graphs Using Logical Programming and Large Language Models
Overall, our work presents a promising approach to addressing question answering over domain-specific graphs, offering an explainable and robust solution by incorporating logical programming languages.
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Incentives in Two-sided Matching Markets with Prediction-enhanced Preference-formation
Here, we first introduce this type of strategic behavior, which we call an `adversarial interaction attack'.
MDR Cluster-Debias: A Nonlinear WordEmbedding Debiasing Pipeline
This indicates that word embeddings encode gender bias in still other ways, not necessarily captured by upstream tests.
When do Word Embeddings Accurately Reflect Surveys on our Beliefs About People?
We find that biases found in word embeddings do, on average, closely mirror survey data across seventeen dimensions of social meaning.
Theory In, Theory Out: The uses of social theory in machine learning for social science
In the first half of this paper, we walk through how social theory can be used to answer the basic methodological and interpretive questions that arise at each stage of the machine learning pipeline.
