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.
|Translated title of the contribution
|Interactivity in Twitter: Effects of party identity on the evaluation of political candidates and on their vote intentions
|Number of pages
|Comunicacion y Sociedad (Mexico)
|Published - 1 May 2017
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