This paper measures gender bias in discussions about women versus men in an online
professional forum. I study the content of posts that refer to each gender and the transitions …

People create and share content via online social networks, which provide an unparalleled
opportunity for brands to gain visibility, promote products or services and drive revenue …

Social learning, ie, students learning from each other through social interactions, has the
potential to significantly scale up instruction in online education. In many cases, such as in …

We consider the problem of jointly predicting the quality and timing of responses to
questions asked in online discussion forums. While prior work has focused on identifying …

Social Reinforcement Learning methods, which model agents in large networks, are useful
for fake news mitigation, personalized teaching/healthcare, and viral marketing, but it is …

Untitled Page 1 Page 2 Page 3 Essays on Employer Learning in the Labor Market A dissertation
presented by Alice Haowen Wu to The Department of Economics in partial fulfillment of the …

The prediction of future retweet counts for tweets shared on Twitter has been a topic of
immense interest recently. Numerous models have been proposed for such prediction, with …

Predicting the goals of users can be extremely useful in e-commerce, online entertainment,
information retrieval, and many other online services and applications. In this thesis, we …

There are various real-world applications that involve large number of interacting agents, for
eg, viral marketing, personalized teaching, healthcare, recommendation systems, online …

With the growth of the internet, online learning platforms such as edX, Coursera, and Udacity
have emerged. The Massive Open Online Courses (MOOCs) provided by these learning …