16 citations · 70 across the 21 of their papers we have counts for
5 papers · 1 filter
An analysis of replies to Trump's tweets
Zijian An, Kenneth Joseph
Donald Trump has tweeted thousands of times during his presidency. These public statements are an increasingly important way through which Trump communicates his political and pers…
Explaining Gender Differences in Academics' Career Trajectories
Aniko Hannak, Kenneth Joseph, Andrei Cimpian +1
Academic fields exhibit substantial levels of gender segregation. To date, most attempts to explain this persistent global phenomenon have relied on limited cross-sections of data…
MDR Cluster-Debias: A Nonlinear WordEmbedding Debiasing Pipeline
Yuhao Du, Kenneth Joseph
Existing methods for debiasing word embeddings often do so only superficially, in that words that are stereotypically associated with, e.g., a particular gender in the original emb…
When do Word Embeddings Accurately Reflect Surveys on our Beliefs About People?
Kenneth Joseph, Jonathan H. Morgan
Social biases are encoded in word embeddings. This presents a unique opportunity to study society historically and at scale, and a unique danger when embeddings are used in downstr…
Theory In, Theory Out: The uses of social theory in machine learning for social science
Jason Radford, Kenneth Joseph
Research at the intersection of machine learning and the social sciences has provided critical new insights into social behavior. At the same time, a variety of critiques have been…