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||21|
|Journal||Comunicacion y Sociedad (Mexico)|
|Publication status||Published - 1 May 2017|
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