A multimodal discourse analysis of 'Brexit': flagging the nation in political cartoons

LENNON, Henry and KILBY, Laura (2021). A multimodal discourse analysis of 'Brexit': flagging the nation in political cartoons. In: Political Communication. Discursive Perspectives. Palgrave Studies in Discursive Psychology . Palgrave Macmillan, 115-146.

[img] PDF
Lennon_Kilby_MCDA of BrexitAM.pdf - Accepted Version
Restricted to Repository staff only until 5 February 2023.
All rights reserved.

Download (348kB)
Official URL: https://link.springer.com/chapter/10.1007/978-3-03...
Link to published version:: https://doi.org/10.1007/978-3-030-60223-9_5
Related URLs:

    Abstract

    The rhetorical investigation of multimodality in political discourse is a growing concern for discursive researchers adopting critical approaches. The study of political cartoons is a prime example of how both visual and linguistic meaning can be constructed and interpreted based on its prevailing social, cultural and political settings. Adopting a multimodal critical discourse analysis (MCDA) approach, this chapter further pursues the study of multimodality in political communication by examining a corpus of political cartoons—drawn from the UK and beyond—concerned with the UK’s Referendum on membership of the European Union and the subsequent vote to leave in 2016. We analyse how the rhetoric of these cartoons flags the construction of national identity, otherness and belonging, lending themselves to condensed ideological messages seeking to frame Brexit. It is argued such cartoons can be seen as micro-instances of the anchoring of Brexit as a self-referential political divide defined by oppositional discourses and their accompanying intellectual legacy. A phenomenon, which, we contend, is richly explained by the rhetorical communication of the visual alongside the linguistic. We conclude the chapter by reflecting on how MCDA can assist our understanding of political communication and contribute to the critical tradition of discursive psychological work.

    Item Type: Book Section
    Identification Number: https://doi.org/10.1007/978-3-030-60223-9_5
    Page Range: 115-146
    SWORD Depositor: Symplectic Elements
    Depositing User: Symplectic Elements
    Date Deposited: 12 Jan 2021 10:47
    Last Modified: 19 Mar 2021 17:30
    URI: http://shura.shu.ac.uk/id/eprint/27919

    Actions (login required)

    View Item View Item

    Downloads

    Downloads per month over past year

    View more statistics