Search Results for author:
Found 7 papers, 3 papers with code
Cross-Lingual and Cross-Domain Crisis Classification for Low-Resource Scenarios
In this work, we study the task of automatically classifying messages that are related to crisis events by leveraging cross-language and cross-domain labeled data.
Detecting Polarized Topics Using Partisanship-aware Contextualized Topic Embeddings
We apply our method to a dataset of news articles about the COVID-19 pandemic.
Leveraging Clickstream Trajectories to Reveal Low-Quality Workers in Crowdsourced Forecasting Platforms
In this study, we propose the use of a computational framework to identify clusters of underperforming workers using clickstream trajectories.
Friendship Paradox Biases Perceptions in Directed Networks
For example, in an online network of a social media platform, the number of people who mention a topic in their posts---i. e., its global popularity---can be dramatically different from how people see it in their social feeds---i. e., its perceived popularity---where the feeds aggregate their friends' posts.
Social and Information Networks Physics and Society
A Computational Model of Commonsense Moral Decision Making
We introduce a new computational model of moral decision making, drawing on a recent theory of commonsense moral learning via social dynamics.
Superintelligence cannot be contained: Lessons from Computability Theory
Superintelligence is a hypothetical agent that possesses intelligence far surpassing that of the brightest and most gifted human minds.
Interdependent Scheduling Games
We propose a model of interdependent scheduling games in which each player controls a set of services that they schedule independently.
