Interactivity in Twitter: Effects of party identity on the evaluation of political candidates and on their vote intentions

Abstract

The purpose of this work is to analyze the extent that users' party identification affects the way in which they evaluate a political candidate from interacting with her followers in Twitter. The results of an experimental design showed that high-identified users -in contrast to low-identified ones- assessed their in-group candidate better when her interactivity level was higher.