Professor in Political Science and Computer and Information Science

David Lazer

A Frame of Mind: Using Statistical Models for Detection of Framing and Agenda Setting Campaigns

Peer Reviewed Computer Science Conference
Publication date: 
07/2015
Authors: 
Oren Tsur
Dan Calacci
David Lazer
A Frame of Mind: Using Statistical Models for Detection of Framing and Agenda Setting Campaigns

Framing is a sophisticated form of discourse in which the speaker tries to induce a cognitive bias through consistent linkage between a topic and a specific context (frame). We build on political science and communication theory and use probabilistic topic models combined with time series regression analysis (autoregressive distributed-lag models) to gain insights about the language dynamics in the political processes. Processing four years of public statement issued by members of the U.S. Congress, our results provide a glimpse into the complex dynamic processes of framing, attention shifts and agenda setting, commonly known as 'spin.' We further provide new evidence for the divergence in party discipline in U.S. politics.

Research Areas TOC

Computational Social Science, Collective Cognition

Computational Social Science, 21st Century Democracy, Political Networks

DNA and the Criminal Justice System

21st Century Democracy, Political Networks