Rhetorical Discursive Strategies in 2024 U.S. Presidential Campaigns: A Critical Pragmatic Analysis
Saeed Mahdi Abdulraheem Al-Azzawi
1
(
Department of English Language, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran
)
Ehsan Rezvani
2
(
Department of English Language, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran
)
Basim Jubair Kadhim Al-Jameel
3
(
Open Educational College, Najaf Center, Ministry of Education, Najaf, Iraq
)
Bahram Hadian
4
(
Department of English Language, Isfahan (Khorasgan) Branch, Islamic Azad University, Isfahan, Iran
)
Keywords: Rhetorical Strategies, Political Discourse, Ideological Polarization, Partisan Rhetoric, Van Dijk’s Ideological Square, Political Communication,
Abstract :
This study explored the rhetorical strategies employed by Republican and Democratic nominees during the 2024 U.S. presidential campaigns, focusing on the discursive techniques used to appeal to partisan bases and shape voter perceptions. Grounded in Van Dijk’s Ideological Square—a theoretical framework for analyzing how language constructs ideological divides—the research investigated the role of positive self-presentation, negative other-presentation, and the strategic framing of political ideologies in the construction of party identity. A mixed-methods approach, combining both quantitative analysis of discourse patterns and qualitative examination of rhetorical strategies, uncovered the distinctive ways each party uses language to reinforce ideological commitments and polarize the electorate. The findings reveal significant differences in how Republicans and Democrats position themselves and their opponents, with Republicans often employing fear-based rhetoric, in-group/out-group distinctions, and a focus on "threat" narratives. In contrast, Democrats tend to emphasize unity, inclusivity, and collective responsibility, though occasionally at the risk of alienating moderates or dissenting voices within their own ranks. The study also highlights the growing role of digital media and algorithm-driven communication, demonstrating how technological platforms have amplified the impact of these rhetorical strategies, especially in the form of targeted misinformation and tailored inclusivity messages. The implications of the study extend to the fields of sociolinguistics, political communication, and media studies, emphasizing how language shapes ideological alignment, reinforces social divisions, and influences democratic processes in the digital age.
Beddoe, C. (2024). The ethical implications of AI-generated content in political discourse. Journal of Political Communication, 12(1), 45-67.
Braun, V., & Clarke, V. (2021). Successful qualitative research: A practical guide for beginners. SAGE Publications.
Chouliaraki, L. (2021). Mediated discourse: The role of intertextuality and recontextualization in political narratives. Discourse & Society, 32(3), 345-360.
Creswell, J. W. (2018). Research design: Qualitative, quantitative, and mixed methods approach (5th ed.). SAGE Publications.
Cruz, A., et al. (2023). Artificial intelligence and personalized political messaging: New strategies for voter engagement. International Journal of Political Science, 15(4), 233-250.
Fairclough, N. (2015). Language and power: An introduction to political discourse analysis. Critical Discourse Studies, 12(2), 134-150.
García, R., et al. (2022). Visual rhetoric in political advertising: A multimodal analysis using Van Dijk’s framework. Visual Communication, 21(2), 189-205.
Jost, J. T., et al. (2017). The role of fear appeals in conservative rhetoric: A psychological perspective. Political Psychology, 38(5), 789-802.
Lakoff, G. (2016). Metaphors we live by. University of Chicago Press.
López-Nicolás, C., et al. (2021). The impact of digital platforms on ideological echo chambers in political communication. New Media & Society, 23(8), 2180-2199.
Murphy, P. (2024). Critical discourse analysis in the digital age: new methodologies and frameworks. Journal of Language and Politics, 23(1), 67-82.
Pennebaker, J. W., et al. (2022). The role of AI in thematic pattern identification within political discourse analysis. Computational Linguistics, 48(3), 543-560.
Papageorgiou, A., & Bateman, J. (2021). Emotional appeals and misinformation in European political campaigns during COVID-19: A comparative analysis. European Journal of Political Research, 60(2), 234-250.
Shinbori, K., et al. (2022). Algorithm-driven amplification and its effects on political discourse: Evidence from recent elections. Journal of Communication Inquiry, 46(1), 56-74.
Tang, L., & Chen, Y. (2023). Emotional appeals in political communication: Strategies for mobilizing voters in the digital age. Political Communication, 40(3), 300-320.
Tashakkori, A., & Teddlie, C. (2020). Mixed methodology: Combining qualitative and quantitative approaches. SAGE Publications.
Van Dijk, T. A. (2018). Discourse and power: An introduction to critical discourse analysis. Discourse Studies, 20(6), 773-792.
Wodak, R. (2015). The politics of fear: What right-wing populist discourses mean for democracy and social cohesion in Europe. European Journal of Political Research, 54(1), 1-16.