BailCAArgyleLPBrownTW, et al. (2018) Exposure to opposing views on social media can increase political polarization. Proceedings of the National Academy of Sciences – PNAS115(37): 9216–9221. https://doi.org/10.1073/pnas.1804840115
2.
IyengarSLelkesYLevenduskyM, et al. (2019) The origins and consequences of affective polarisation in the United States. Annual Review of Political Science22: 129–146. https://doi.org/10.1146/annurev-polisci-051117-073034
3.
LakoffG (2014) The ALL NEW Don’t Think of an Elephant!: Know Your Values and Frame the Debate. Chelsea Green Publishing.
4.
MautnerG (2016) Checks and balances: How corpus linguistics can contribute to CDA. In: WodakRMeyerM (eds) Methods of Critical Discourse Studies. Sage, pp.155–180. Available at: https://www.researchgate.net/publication/284725923 (accessed 2 July 2026).
MusolffA (2016) Political metaphor Analysis: Discourse and Scenarios. Bloomsbury Academic.
7.
Van DijkTA (1998) Ideology: A Multidisciplinary Approach. Sage.
8.
Van DijkTA (2008) Discourse and Context. A Sociocognitive Approach. Cambridge University Press.
9.
YardiSboydd (2010) Dynamic debates: An analysis of group polarisation over time on Twitter. Bulletin of Science, Technology and Society20: 1–8. https://doi.org/10.1177/0270467610380016