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Found 12 papers, 4 papers with code
When the Majority is Wrong: Modeling Annotator Disagreement for Subjective Tasks
Thus, a crucial problem in hate speech detection is determining whether a statement is offensive to the demographic group that it targets, when that group may constitute a small fraction of the annotator pool.
Difficult Lessons on Social Prediction from Wisconsin Public Schools
These systems assist in targeting interventions to individual students by predicting which students are at risk of dropping out.
A Theory of Dynamic Benchmarks
Dynamic benchmarks interweave model fitting and data collection in an attempt to mitigate the limitations of static benchmarks.
Lost in Translation: Reimagining the Machine Learning Life Cycle in Education
We find that a cross-disciplinary gap exists and is particularly salient in two parts of the ML life cycle: the formulation of an ML problem from education goals and the translation of predictions to interventions.
Adversarial Scrutiny of Evidentiary Statistical Software
Responding to this need to adversarially scrutinize output from such software, we propose robust adversarial testing as an audit framework to examine the validity of evidentiary statistical software.
An Algorithmic Introduction to Savings Circles
These cardinal welfare analyses further rationalize the prevalence of roscas.
Quantifying Community Characteristics of Maternal Mortality Using Social Media
While most mortality rates have decreased in the US, maternal mortality has increased and is among the highest of any OECD nation.
Mechanism Design for Social Good
These solutions have an immense impact on the day-to-day lives of individuals, whether in the form of access to quality healthcare, labor market outcomes, or how votes are accounted for in a democratic society.
Using Search Queries to Understand Health Information Needs in Africa
The lack of comprehensive, high-quality health data in developing nations creates a roadblock for combating the impacts of disease.
Simplicial Closure and higher-order link prediction
Networks provide a powerful formalism for modeling complex systems by using a model of pairwise interactions.
Opinion Dynamics with Varying Susceptibility to Persuasion
This body of literature suggests an interesting perspective on theoretical models of opinion formation by interacting parties in a network: in addition to considering interventions that directly modify people's intrinsic opinions, it is also natural to consider interventions that modify people's susceptibility to persuasion.
Fair Division via Social Comparison
A general result is that for any two distinct graphs on the same set of nodes and an allocation, there exists a set of valuation functions such that the allocation is locally proportional on one but not the other.
