Research

Often, members of our group will collaborate on research projects together. These are often driven by a desire to improve computational algorithms, answer social science questions, or both. A sample of our work is presented below.

 

SMAD Assistance (Ongoing)

As this group is affiliated with the Journalism School’s Social Media and Democracy research group, many of our members assist with computational tasks for a variety of SMAD’s research projects. As of the 2017-2018 year, ongoing SMAD projects that we are working on include:

  • A multi-layer analysis of gun discourse on social media and news during mass shootings, and its subsequent impact on legislation and gun sales.
  • An in-depth analysis of the 2016 U.S. Presidential debates, including computational analysis of audio features, video features, linguistic features, and reaction from social media (i.e., Twitter).
  • A longitudinal analysis of the 2016 U.S. Presidential Election Cycle (June 2015 to November 2016), focusing on news coverage of primary and general candidates.

 

“Sockhunt” Russian Disinformation Project (Ongoing)

This project focuses on Russian disinformation efforts in digital communication from 2013 to present day. Ongoing work includes analyzing the popularity of IRA-linked accounts on Twitter during and after the 2016 U.S. Presidential Election, comparing tweets written by IRA accounts in English and Russian, and analyzing tweets written by IRA accounts during Euromaidan.

One of their paper won the Political Communication Interest Group’s Top Paper Award at the 2018  Association for Education in Journalism and Mass Communication (AEJMC) annual conference.

 

Obamacare and Polarization Project (2015-2016)

This project applied supervised machine learning strategies to study political polarization in tweets about the Affordable Care Act (during the year 2012). This analysis also considered the role of elites on Twitter, including celebrities, politicians, news organization, and other “opinion leaders.”

Their research was presented at the 2016 International Communication Association Conference.