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.
Alvídrez, S. (2017). Interactivity in Twitter: Effects of party identity on the evaluation of political candidates and on their vote intentions. Comunicacion y Sociedad (Mexico), 29, 117–137. https://doi.org/10.32870/cys.v0i29.6416