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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA)
Moreno, J., Cardoso, G., Narciso, I. & Palma, N. (2020). Social Media  disinformation in the pre-electoral  period in Portugal.
Exportar Referência (IEEE)
J. C. Moreno et al.,  "Social Media  disinformation in the pre-electoral  period in Portugal.",, 2020
Exportar BibTeX
@techreport{moreno2020_1714602581569,
	author = "Moreno, J. and Cardoso, G. and Narciso, I. and Palma, N.",
	title = "Social Media  disinformation in the pre-electoral  period in Portugal.",
	year = "2020",
	number = "",
	institution = "CIES-IUL",
	address = "",
	url = "https://medialab.iscte-iul.pt/social-media-disinformation-in-the-pre-electoral-period-in-portugal-no-prelo/"
}
Exportar RIS
TY  - RPRT
TI  - Social Media  disinformation in the pre-electoral  period in Portugal.
AU  - Moreno, J.
AU  - Cardoso, G.
AU  - Narciso, I.
AU  - Palma, N.
PY  - 2020
UR  - https://medialab.iscte-iul.pt/social-media-disinformation-in-the-pre-electoral-period-in-portugal-no-prelo/
AB  - Since the north-american presidential election of 2016, the threat of ‘fake news’ and disinformation interference in elections has been raising concerns. The role of social media on the
propagation of misleading news has been emphasized, as well as its instrumentalization by
partisan groups interested in subverting the election process. The issue has been studied
elsewhere but has not had enough attention in Portugal. In this article we analyse the contents of 47 Facebook pages and 39 Facebook groups during one month prior to the recent
portuguese parliamentary election, on the 6th of October of 2019 to track disinformation
news and analyse its content. Groups and pages to monitor were selected through a process that combined three criteria: the number of fans or members; the proportion of political
content; and the number of posts in the past week. At first we analysed all posts, identifying trends, major content producers and differences between groups and pages. Then, we
analysed individually a weekly selection of the 20 most viral posts that were published to
determine if they were disinformative and of what type of disinformation. We concluded that
disinformative content was prevalent in the pages and groups monitored, that several political actors had a relevant influence in the ensemble of issues discussed in those pages pages
and groups and that most disinformation stemmed from the spinning of both mainstream
and non-mainstream news to serve a political purpose. Although no direct interference in
the electoral results was detected, several false news were monitored that may have influenced the voting behaviour of those exposed to them.
ER  -