Abstract
– For this paper we collected and analyzed manipulated content intended to go viral on Facebook and thus influence public opinion during the pre-election period in Brazil. Posts from 10 Facebook pages were collected over the course of 2017 from Brazilian organizations known to have produced false or manipulated news; we selected a total of 50 of the most-shared posts from those pages. The results showed that the posts receiving the most shares have three characteristics in common: content format, language strategy and information source. Impact phrases, public figures commenting on political facts out of context, and the sensationalist approach were all resources identified in texts, videos and photographs; formats which are commonly used for propagation purposes.
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Published on 01/01/2019
DOI: 10.25200/BJR.v15n3.2019.117
Licence: CC BY-NC-SA license
