New SMaPP papers

Political Expression and Action on Social Media: Exploring the Relationship Between Lower-and Higher-Threshold Political Activities Among Twitter Users in Italy
by Cristian Vaccari, Augusto Valeriani, Pablo Barberá, Rich Bonneau, John T. Jost, Jonathan Nagler and Joshua A. Tucker, Journal of Computer-Mediated Communication

Protest in the Age of Social Media
by Joshua A. Tucker, Megan Metzger, Duncan Penfold-Brown, Richard Bonneau, John T. Jost and Jonathan Nagler. Carnegie Reporter

Drawing Inferences and Testing Theories with Big Data
by Jonathan Nagler and Joshua Tucker. APSA Symposium

Birds of the Same Feather Tweet Together: Bayesian Ideal Point Estimation Using Twitter Data
by Pablo Barberá. Political Analysis

SMaPP in the Media

Monkey Cage consideration of the true impact of social media on protest - by Josh Tucker

New York Times discussion of work by Pablo Barberá and the role of social media in political polarization - by Claire Cain Miller

Wired report on Pablo Barberá's finding that social media reduces mass political polarization - by Katie Collins

Interview with Josh Tucker and Olga Onuch on LSE Ideas: "Social Media and Social Networks in the EuroMaidan Protests"

Interview with Joshua Tucker on Ukraine and the work of the SMaPP lab: Voice of America: Press Conference USA - by Carol Castiel (Podcast)

Joshua Tucker on social media and the Ukraine protests in: Ukraine's Social Media Revolution Years in the Making - by Cecily Hilleary (Voice of America)

The SMaPP team is working on an interdisciplinary research project that has been funded by the NYU Research Investment Fund and the INSPIRE program of the National Science Foundation (Award #1248077). The project is entitled “Computer Learning of Dynamical Systems to Investigate Cognitive and Motivational Effects of Social Media Use on Political Participation.”

Our goals are fourfold:
  1. To formalize and test a dynamic, integrative theory of the cognitive and motivational effects of social media on political participation;
  2. To design computer programs to extract meaningful slices of data from existing social media platforms such as Twitter;
  3. To identify “best practices” with respect to techniques for culling, analyzing, and annotating complex social network data and to apply these practices in our research (e.g., by focusing on single events and scaling upward to handle extremely large samples of events and participants);
  4. To offer definitive empirical conclusions concerning the causal mechanisms by which social media affects political participation (by integrating the use of original panel surveys and data from social media sources).
Principal Investigators:
Richard Bonneau (Biology/Computer Science)
John T. Jost (Psychology and Politics)
Jonathan Nagler (Politics)
Joshua Tucker (Politics and Russian and Slavic Studies)