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Political cross-discourse

Conversationalization, imaginary networks, and social fields in Galiza
Authors: Celso Alvarez-Cáccamo; Gabriela Prego-Vázquez;

Political cross-discourse

Abstract

Through the analysis of political rallies and parliamentary speech in Galiza, it is shown how conversationalized forms of political discourse enter into ideological manipulation and hegemony-building by professional politicians. The overall resulting phenomenon,cross-discourse, draws from habitual, daily and traditional forms of speech. Political cross-discourse consists of the tactical texturing of traditional political oratory templates through select informal conversational forms and themes. Three main forms of cross-discourse found in the data are exemplified. Cross-discourse indexes and constructs social spaces and networks at several levels of generality: From those of daily interactions to an imaginary supranetwork of common citizens. This form of cross-discursive circulation (from daily speech to politics) gives the illusion of fluidity between social fields in formal democracies, while it hides the very unequal nature of the distribution of discursive resources.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
10
Average
Top 10%
Top 10%
hybrid