Keywords
Hybrid media system
Political parallelism
How to Cite
Abstract
This article contributes to political communication research by proposing an ideological classification of information sources according to multiparty attention in Brazil. To do this, we reproduced the methodology for classifying multiparty media attention on Twitter (Benkler; Faris; Roberts, 2018; Giglietto et al., 2019). We extracted an original database of 2.95 million tweets, posted between 2019 and 2020 by 1,346 users. The results point to a more complex reality than the classic concept of political parallelism describes. Most of the sources of information distribute their attention among various party groups. Insular sites are cited less often and reproduce broader political-ideological identities, without an exclusive party alignment or audience. Finally, we discuss the implications of the results for the theory of political parallelism.
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