This article addresses questions of ideological polarization and the filter bubble in social
media. It develops a theoretical analysis of ideological polarization on social media by …

In recent years, the circulation of online misinformation and fake news has drawn our
attention, given it has ideologically polarized society and has led to social instability …

Every day millions of people use social media platforms by generating a very large amount
of opinion-rich data, which can be exploited to extract valuable information about human …

Conversational agents (CAs) can analyze online conversations using natural language
techniques and effectively facilitate group discussions by sending supervisory messages …

A conversational agent (CA) effectively facilitates online group discussions at scale.
However, users may have expectations about how well the CA would perform that do not …

In online group discussions, balanced participation can improve the quality of discussion,
members' satisfaction, and positive group dynamics. One approach to achieve balanced …

Computational Politics is the study of computational methods to analyze and moderate
users' behaviors related to political activities such as election campaign persuasion, political …

The increased prevalence of misinformation and inflammatory rhetoric online has amplified
polarization on social media platforms in the United States, propelling a feedback loop …

The HCI community has largely failed to serve the millions of people in rural communities in
the developed world. In part, I believe this is because our plural values do not match the …

How do we design technology for learning at scale? Based on an examination of a large
number of influential systems for learning at scale, I argue that designing for scale is not an …